Lambda

Scale and manage Lambda's high performance multi-tenant cloud network including automation, deployment, and monitoring of network infrastructure. | 5+ years in site or network reliability engineering with experience in SDNs, Linux networking, Python scripting, CI/CD, and on-call incident management, plus onsite work in specified locations. | Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You'll Do Help scale Lambda’s high performance multi-tenant cloud network Contribute to the reproducible automation of network configuration and deployments Contribute to the implementation and operations of Software Defined Networks Help to deploy and manage Spine and Leaf networks Ensure high availability of our network through observability, failover, and redundancy Ensure clients have predictable networking performance through the use of network engineering and other applicable technologies Help with deploying and maintaining network monitoring and management tools Participate in on-call You Have 5+ years of experience being a Site Reliability Engineer or Network Reliability Engineering Been part of the implementation of production-scale networking projects Experience being on-call and incident response management Have experience building and maintaining Software Defined Networks (SDN), experience with OpenStack, Neutron, OVN Are comfortable on the Linux command line, and have an understanding of the Linux networking stack Have experience with multi-data center networks and hybrid cloud networks Have Python programming experience and configuration management tools like Ansible Have experience with CI/CD tools for deployment and GIT. Operated network environment with GitOps practices in place. Experience with application lifecycle and deployments on Kubernetes Nice To Have Operated production-scale SDNs in a cloud context (e.g. helped implement or operate the infrastructure that powers an AWS VPC-like feature) Have Software development experience with C, GO, Python Experience automating network configuration within public clouds, with tools like Kubernetes, HELM, Terraform, and Ansible Deep understanding of the Linux networking stack and its interaction with network virtualization, SR-IOV and DPDK Understanding of the SDN ecosystem (e.g. OVS, Neutron, VMware NSX, Cisco ACI or Nexus Fabric Controller, Arista CVP) Have experience with Spine and Leaf (Clos) network topology Have experience and understanding of BGP EVPN VXLAN networks Experience with building and maintaining multi-data center networks, SD-WAN, DWDM Experience with Next-Generation Firewalls (NGFW) Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Design and implement scalable, secure IAM systems for AI cloud infrastructure, focusing on user authentication, authorization, and identity lifecycle management. | 8+ years of platform engineering experience with 3+ years in IAM or authentication/authorization, expertise in IAM protocols and systems, programming in Python or Go, and experience with multi-tenant SaaS environments. | Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. • Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Role Summary Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world. You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services. What You’ll Do • Design and build intuitive, beautiful web interfaces for ML/AI cloud users • Integrate top-tier tooling, workflows, and models from the AI space • Own features end-to-end—from design to deployment to monitoring You (Must-Haves) • 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives. • Deep expertise in modern IAM patterns and technologies: • Authentication (OIDC, OAuth2, SAML) • Authorization (RBAC, ABAC, fine-grained permissions) • MFA and advanced authentication factors • SCIM and identity lifecycle management • Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale. • Strong architecture and systems design skills for distributed, multi-tenant SaaS environments. • Proven track record of delivering IAM features in security-sensitive, high-uptime environments. • Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane). Nice-to-Haves • Experience designing IAM systems for ML/AI or cloud infrastructure products. • Hands-on experience with enterprise onboarding flows. • Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure). • Contributions to IAM standards or open-source identity projects. • Leadership or mentorship experience • Strong academic background (EECS, Math, Software Engineering, Physics) Salary Range The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Final Note You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills. About Lambda • Founded in 2012, with 500+ employees, and growing fast • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG • Our values are publicly available: https://lambda.ai/careers • We offer generous cash & equity compensation • Health, dental, and vision coverage for you and your dependents • Wellness and commuter stipends for select roles • 401k Plan with 2% company match (USA employees) • Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Build end-to-end features for Lambda Cloud and contribute both frontend and backend code to existing and new features. Collaborate with various teams to deliver solutions and ensure customer success. | Experience in modern web application frontends and backend services is required, along with proven experience in owning complex features end to end. Familiarity with developer-facing APIs and CI/CD practices is also essential. | Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What The Role is About SI Partnership is Lambda’s missing function team. We’re a part of the Product Engineering organization — we work on customer-facing APIs and UIs, contribute to Lambda’s core product offerings and developer tooling. SI Partnerships charter is to enable world’s largest Superintelligence companies to successfully integrate their workloads on Lambda’s platform, and make all our tooling and improvements available to all Lambda’s enterprise customers as part of our core Cloud Platform. You’ll find yourself working directly with engineering and business teams across Lambda and our largest customers, on the cutting edge features that the industry at large is just starting to figure out. What You’ll Do Build end to end features for Lambda Cloud. Contribute both frontend and backend code to existing and new features. Collaborate with Lambda Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut through the stack. Work with a team of Product Managers to design, scope, and deliver features that are critical to our most important customer success, without compromising on our product quality. Collaborate with Lambda Support and other Operations teams to deliver the best possible experience for our customers. Partner directly with superintelligence customer’s engineering teams. Own production features and systems, participate in incident response rotations. Design and implement observability and maintenance processes for the new features we build. You Experience in modern web application frontends: responsive web apps using TypeScript, React (or equivalent experience in Vue or Svelte), HTML and CSS, and Vite. Backend experience: Business-critical services using Python, Unix/Command line, Django or FastAPI, Postgres. Proven experience owning complex features end to end, from defining the problem with Product, to GA release and measuring success criteria, in highly ambiguous environments, under tight deadlines. Proven experience to communicate trade offs in scoping and timelines. Experience designing, implementing, and maintaining developer-facing APIs and documentation. Additional Core Experience CI/CD: Automation around testing and deployment Reliability & Observability: Logging, alerting, and building highly available systems Cloud Native Services: AWS, Okta, Cloudflare, etc. Nice-to-Haves Experience with Kubernetes Infrastructure as Code (Terraform, Atlantis, Crossplane, etc.) Experience in ML, AI, or data science Application security and web hardening Engineering leadership or mentorship experience Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Develop and execute customer onboarding, adoption, and retention programs, creating enablement content and ensuring seamless customer experiences. | 5+ years in SaaS, cloud, or infrastructure enablement or customer success, with strong cross-functional collaboration and program-building skills. | This a Full Remote job, the offer is available from: California (USA) Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. • Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. We’re hiring a Customer Enablement Manager to scale how Lambda supports customers after the initial sale. You’ll design and execute programs that improve onboarding, adoption, renewals, and expansion — empowering every customer-facing team to deliver measurable value and consistency throughout the customer journey. This is a hybrid role based in our San Francisco office and reports to the head of GTM Enablement. What You’ll Do • Develop scalable onboarding frameworks that reduce time-to-value and set clear customer success milestones. • Build enablement programs and content for internal teams supporting customers — whether in Customer Success, Technical Solutions, or future post-sales functions. • Define and document Sales-to-Customer handoffs, ensuring a seamless customer experience across GTM. • Create playbooks, QBR templates, and success planning frameworks that improve engagement and retention. • Partner with TPMMs and CS Ops to align enablement materials with new product releases and customer communication cadences. • Build advocacy and storytelling programs that capture customer wins and expand referenceable proof points. • Own the Customer Enablement section of the GTM Notion Hub, maintaining accurate, discoverable documentation for all post-sale teams. • Manage collateral and training resources in Highspot, ensuring customer-facing teams have access to the latest tools and templates. What You’ll Bring • 5+ years of experience in Enablement, Customer Success, or Account Management within SaaS, cloud, or infrastructure environments. • A track record of building programs that improve retention, renewal, or lifecycle performance. • Excellent cross-functional collaboration skills with Success, Solutions, Product, and Marketing. • Strong facilitation and communication skills — able to translate complex information into customer-ready language. • Familiarity with enablement/Customer Success platforms such as Highspot, Notion, Gong, and Vitally. Nice to Have • Background in AI/ML, cloud infrastructure, or GPU-based compute. • Understanding of cloud compute, networking, storage, orchestration, and observability concepts. • Experience building post-sale enablement content, customer storytelling frameworks, or lifecycle programs. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda • Founded in 2012, with 500+ employees, and growing fast • Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG • Our values are publicly available: https://lambda.ai/careers • We offer generous cash & equity compensation • Health, dental, and vision coverage for you and your dependents • Wellness and commuter stipends for select roles • 401k Plan with 2% company match (USA employees) • Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. This offer from "Lambda" has been enriched by Jobgether.com and got a 72% flex score.

Design and execute onboarding, adoption, and retention programs for SaaS/cloud customers, including content development, process documentation, and stakeholder collaboration. | At least 5 years in SaaS or cloud enablement, program building experience, strong communication skills, familiarity with enablement platforms. | Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. We’re hiring a Customer Enablement Manager to scale how Lambda supports customers after the initial sale. You’ll design and execute programs that improve onboarding, adoption, renewals, and expansion — empowering every customer-facing team to deliver measurable value and consistency throughout the customer journey. This is a hybrid role based in our San Francisco office and reports to the head of GTM Enablement. What You’ll Do Develop scalable onboarding frameworks that reduce time-to-value and set clear customer success milestones. Build enablement programs and content for internal teams supporting customers — whether in Customer Success, Technical Solutions, or future post-sales functions. Define and document Sales-to-Customer handoffs, ensuring a seamless customer experience across GTM. Create playbooks, QBR templates, and success planning frameworks that improve engagement and retention. Partner with TPMMs and CS Ops to align enablement materials with new product releases and customer communication cadences. Build advocacy and storytelling programs that capture customer wins and expand referenceable proof points. Own the Customer Enablement section of the GTM Notion Hub, maintaining accurate, discoverable documentation for all post-sale teams. Manage collateral and training resources in Highspot, ensuring customer-facing teams have access to the latest tools and templates. What You’ll Bring 5+ years of experience in Enablement, Customer Success, or Account Management within SaaS, cloud, or infrastructure environments. A track record of building programs that improve retention, renewal, or lifecycle performance. Excellent cross-functional collaboration skills with Success, Solutions, Product, and Marketing. Strong facilitation and communication skills — able to translate complex information into customer-ready language. Familiarity with enablement/Customer Success platforms such as Highspot, Notion, Gong, and Vitally. Nice to Have Background in AI/ML, cloud infrastructure, or GPU-based compute. Understanding of cloud compute, networking, storage, orchestration, and observability concepts. Experience building post-sale enablement content, customer storytelling frameworks, or lifecycle programs. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Our values are publicly available: https://lambda.ai/careers We offer generous cash & equity compensation Health, dental, and vision coverage for you and your dependents Wellness and commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible paid time off plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Oversee and manage the monthly, quarterly, and annual close process to ensure accuracy and timeliness. Lead, mentor, and develop accounting team members while participating in special projects and assisting with audits. | Bachelor’s degree in Accounting or Finance is required, along with a CPA and 8+ years of progressive accounting experience. Strong knowledge of US GAAP, SEC Reporting, and SOX compliance is essential. | Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Oversee and manage the monthly, quarterly and annual close process to ensure accuracy and timeliness Review journal entries, reconciliations, and account analyses prepared by the accounting team Support preparation of SEC filings (10-K, 10-Q, 8-K, proxy statements) in compliance with US GAAP and SEC regulations Partner with Sales Operations, FP&A, Tax, HR and other functions to ensure proper accounting and reporting of transactions Assist with internal and external audits, providing documentation and analyses Assist in driving process improvements and automation initiatives to shorten the close cycle and enhance reporting accuracy Lead, mentor, and develop accounting team members, fostering a culture of collaboration, accountability, and continuous improvement Participate in special projects such as system implementations, accounting policy development and other projects as needed Assist in budgeting and forecasting activities, providing valuable insights and recommendations Collaborate with cross-functional teams to ensure proper recording and allocation of expenses You Bachelor’s degree in Accounting or Finance, or a related field; CPA required 8+ years of progressive accounting experience, including Big 4 public accounting and corporate accounting leadership roles Strong knowledge of US GAAP, SEC Reporting and SOX compliance Proven track record of managing monthly, quarterly and annual close processes in a fast-paced environment Experience with NetSuite Excellent analytical, organizational, and problem-solving skills with a keen eye for detail Strong leadership and communication skills, with the ability to collaborate cross-functionally, influence at all levels of the organization and articulate accounting concepts to non-accounting stakeholders Maintain a high level of integrity and professionalism, with the ability to handle sensitive and confidential information Ability to thrive in a dynamic, high-growth, and deadline-driven environment Nice to Have Experience working in a fast paced, high-growth technology environment Experience with AI, SaaS, or consumption-based business models Demonstrated skill in process automation and system implementations Comfort handling ambiguity and working with minimal supervision Initiative to apply knowledge and recommend well-considered improvements Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Support the quarterly earnings process and collaborate with Finance and cross-functional teams to analyze financial performance for investor communications. Assist with the creation and maintenance of investor relations materials and plan investor relations events. | Candidates should have 2-5 years of experience in equity research, investment banking, or strategic finance, along with strong financial and analytical skills. A BS or BA in Business, Economics, or a related field is required, along with a passion for capital markets and technology. | Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do: Support the quarterly earnings process, including logistics, financial analyses, and preparation of earnings materials Collaborate with Finance and cross-functional teams to analyze financial performance and key business developments for use in investor communications Perform financial, strategic, and competitive analyses, including peer benchmarking and ad hoc projects that support strategic and financial initiatives Review and analyze equity research, consensus estimates, and investor/analyst sentiment to assess valuation drivers and market perception Assist with the creation and ongoing maintenance of investor relations materials, including updates to the Investor Relations website Assist with the planning and execution of investor relations events, including non-deal roadshows and investor conferences Monitor peers and competitors’ earnings disclosures and equity research publications to inform internal messaging and market positioning Summarize and distribute key takeaways from investor interactions, equity research, and market developments to senior management You Have 2–5 years of experience in equity research, investment banking, buy-side investing, or strategic finance Demonstrate mature financial and analytical skills with the ability to interpret complex information and financial concepts Possess strong business acumen with an understanding of technology and software business models, and a capacity to quickly learn about our industry, products, competitors, and key audiences Proficient in Excel and Google Suite; experience with financial research tools is a plus Bring a detail-oriented mindset coupled with the ability to think strategically and see the broader picture Thrive in fast-paced, high-growth environments with a proactive, flexible, and collaborative mindset Bring excellent verbal and written communication skills, with the ability to work effectively across teams and functions Hold a BS or BA in Business, Economics, or a related field, or equivalent relevant work experience Bring a passion for capital markets, paired with a strong interest in understanding emerging trends and developments in the technology industry Nice to Have: Experience with AI, SaaS, or consumption-based business models Comfort handling ambiguity and working with minimal supervision Experience working with pre-IPO companies Familiarity with capital structure dynamics and the ability to evaluate debt instruments such as bonds and bank facilities Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lead the Software Defined Networking team and manage both internal and customer-facing projects to enhance the capabilities of the network. Ensure optimal customer experience while overseeing operational and development workloads. | Candidates should have over 10 years of industry experience in software engineering with a focus on networking and distributed systems. Proven leadership in building high-performance networking infrastructure and managing operational excellence is essential. | Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco/San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Lead our world-class Software Defined Networking team. Lead both internal and customer facing projects in order to expand the capabilities of our multi-tenant, high-performance software-defined network. Work closely with peer Managers in the Networking, Control Plane, and HPC Architecture teams to set our future vision for software defined networking. Ensure our customers have the best possible experience that meets their performance, feature, and reliability requirements. Manage both operational and development workloads, ensuring rigorous SLAs while also investing in automation and platform improvements to accelerate future growth. Own and assist with product-focused projects and strategies that keep Lambda at the cutting edge of GPU hosting, making us the best place to run any GPU, ML or AI workloads. Hire, grow and retain top-tier engineers, focusing on both systems reliability engineering and software engineering. Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making. You 6+ years in full-time engineering management roles at a hyperscalar/cloud, networking solutions provider, technology company dependent on on-prem data-center networking, or a networking software company where you led networking or networking-adjacent teams. 10+ years of industry experience in software engineering, with a focus on deploying networking, distributed systems engineering, and/or software-defined networking. Design and implementation of networking control planes and data planes, Development and tuning of traffic engineering, routing protocols (e.g., BGP, OSPF), VPNs, load balancers, and distributed firewalls, Proficient in low-level Linux networking, network namespaces, iptables, eBPF, and DPDK Proven record of leading and building engineering teams that work on mission-critical, high performance networking infrastructure and distributed-systems orchestration. Demonstrated operational excellence in running production-grade networking infrastructure with 99.99%+ availability SLAs, Defining SLIs and SLOs, Incident management under high-pressure scenarios, Postmortem and root cause analysis, Implementation of observability pipelines (Prometheus, Grafana, ELK, etc.) Experience deploying and operating next-generation networking technologies in High-performance computing (HPC) and AI datacenters, Edge environments with strict latency and jitter constraints, Private cloud stacks such as OpenStack Neutron, Open vSwitch (OvS), Open Virtual Network (OVN) for Open vSwitch, or other Software Defined Networking software stacks like Nutanix, or VMware NSX Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity. Strong customer-facing skills, including pre-sales, general support, and incident management. Expertise with Kubernetes and container networking stacks like CNI plugins (Calico, Cilium, Flannel), Service mesh implementations (Istio, Linkerd), Ingress controllers, multi-tenant network policies, and network security enforcement. Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution. Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability. Nice to Have Experience with cutting edge networking technologies, specifically programmable superNICs, such as the Nvidia BlueField DPUs. Experience with Nvidia Spectrum-X networking platform. Experience with deploying networking solutions on Kubernetes. Experience with implementing robust networking observability solutions. Experience managing a remote, globally-distributed team. Significant experience providing input into sales, customer service/success, and customer support functions. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Develop and implement complex financial models for forecasting and budgeting. Lead financial reporting processes and collaborate with cross-functional teams to support strategic initiatives. | Candidates should have a bachelor's degree in Finance, Accounting, or a related field, along with 5-7 years of experience in FP&A or strategic finance. Strong analytical skills and proficiency in financial modeling are essential. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Develop and implement complex financial models for forecasting, budgeting, and long-term strategic planning Conduct rigorous analysis of key performance indicators, operational metrics, and business trends, translating the data into actionable insights and recommendations Lead the monthly and quarterly financial reporting processes, ensuring accuracy and providing variance analysis to highlight key business drivers and financial risks Collaborate with cross-functional teams, including Sales, Marketing, Product, Engineering, and Operations, to align on and support strategic initiatives, improve operational efficiency, provide deal support, and drive profitable growth Assist in preparing management presentations and reports for the Executive team, Board of Directors, and external stakeholders Participate in the financial due diligence for fundraising opportunities Monitor industry trends and the competitive landscape to identify potential business risks and opportunities Undertake interesting and impactful ad hoc analyses and special projects as directed by Leadership You Have a bachelor's degree in Finance, Accounting, Economics, or a related field Have a strong background in FP&A or strategic finance with a minimum of 5-7 years of experience, ideally with a focus on software, AI, cloud infrastructure, and/or enterprise technology Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making Have excellent analytical, strategic thinking, and decision-making skills Possess strong Excel skills and experience with financial software systems Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement Are able to work in an ambiguous environment with very little direction Nice to Have Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments Experience in the machine learning, computer hardware industry, or cloud computing Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Develop and implement complex financial models for forecasting and budgeting. Collaborate with cross-functional teams to support strategic initiatives and drive profitable growth. | Candidates must have a bachelor's degree in Finance, Accounting, Economics, or a related field, along with 2-4 years of relevant experience. Strong analytical skills and the ability to thrive in a fast-paced environment are essential. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Develop and implement complex financial models for forecasting, budgeting, and long-term strategic planning Conduct rigorous analysis of key performance indicators, operational metrics, and business trends, translating the data into actionable insights and recommendations Lead the monthly and quarterly financial reporting processes, ensuring accuracy and providing variance analysis to highlight key business drivers and financial risks Collaborate with cross-functional teams, including Sales, Marketing, Product, and Operations, to align on and support strategic initiatives, improve operational efficiency, provide deal support, and drive profitable growth Assist in preparing management presentations and reports for the Executive team, Board of Directors, and external stakeholders Participate in the financial due diligence for fundraising opportunities Monitor industry trends and the competitive landscape to identify potential business risks and opportunities Undertake interesting and impactful ad hoc analyses and special projects as directed by Leadership You Have a bachelor's degree in Finance, Accounting, Economics, or a related field Have a minimum of 2-4 years of experience in financial analysis including: FP&A, strategic finance, investment banking, private equity, or venture capital, ideally with a focus on software, AI, cloud infrastructure, and/or enterprise technology Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making Have excellent analytical, strategic thinking, and decision-making skills Possess strong Excel skills and experience with financial software systems Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement Are able to work in an ambiguous environment with very little direction Nice to Have Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments Experience in the machine learning, computer hardware industry, or cloud computing Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lead enterprise system architecture and integration efforts across finance, supply chain, and customer platforms with a focus on automation, compliance, and operational excellence. | 12+ years in business systems architecture with 5+ years in NetSuite finance modules, strong programming skills, SOX compliance knowledge, and leadership experience. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company Finance, GTM, Engineering, and People to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT. About the Role We are seeking an experienced Senior Business Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions. Your responsibilities will include architecting end-to-end solutions, managing complex system integrations, and building a strategic roadmap for enterprise system enhancements. This role requires strong leadership, deep technical expertise, and a proactive approach to solving business challenges. What You’ll Do Strategic Leadership Partner with stakeholders across Finance, Data Center Operations, and Engineering to define and execute scalable system roadmaps. Align enterprise system capabilities with long-term business and operational goals. Solution Design & Implementation Architect, configure, and deploy advanced workflows, modules, and configurations in enterprise platforms such as NetSuite, Netbox, ServiceNow, and Salesforce. Lead technical design sessions with product managers and business stakeholders, translating requirements into system configurations, customizations, and scripts. Tooling Selection & Standardization Evaluate, select, and implement enterprise tools and systems to meet operational needs and ensure scalability. Establish governance standards for tool usage, integration practices, and long-term support models. Integration & Automation Manage integrations and optimize iPaaS solutions (e.g., Workato, Mulesoft, Alteryx) for automated workflows and interoperability across platforms. Partner with Integration and Data Engineers to embed Financial and Operational applications into broader system and data ecosystems. Compliance & Optimization Ensure SOX compliance through effective ITGCs, internal controls, and system audits. Continuously improve systems, processes, and reporting for accuracy, reliability, and scalability. Support & Analytics Troubleshoot complex system issues and provide escalated technical support. Mentor junior team members, fostering a collaborative and growth-oriented environment. Deliver actionable insights through advanced reporting, saved searches, and dashboards to inform decision-making. Finance & Asset Management Focus Design and support processes in NetSuite Inventory, NetAsset, Netbox, Hyperview, Servicenow (CMDB) and similar or related applications. Integrate inventory data from procurement systems and infrastructure tools. Implement accounting rules and depreciation logic for capital assets and leases. Support CIP (Construction in Progress) conversion to fixed assets and ensure accurate depreciation schedules. Build reconciliations and controls across inventory, GL, and physical deployment. Partner with Data Center Infra Ops, Inventory Control, Accounting, and FP&A teams to model asset lifecycle and value. Design and implement lease administration and accounting solutions using tools like Trullion, NetLease, Costar and similar or related applications.. You Experience & Certification 12+ years of experience in business systems architecture or administration, with hands-on implementation of enterprise systems. 5+ years specifically working with NetSuite modules and finance accounting and asset management systems. Strong understanding of Finance technology stacks and DCIM tools, including NetSuite, Servicenow, Salesforce, and or billing systems. Certifications in platforms such as NetSuite Administrator, Workato, or other iPaaS strongly preferred. Technical Expertise Hands-on proficiency in NetSuite development (SuiteScript, SuiteTalk, SuiteFlow, Saved Searches, SquareWorks workflows). Strong programming and scripting experience (JavaScript, SQL, HTML, CSS, Python). Experience with middleware and low/no-code platforms (Workato, Mulesoft, Alteryx) for integration and workflow automation. Process Automation Proven track record of designing and deploying automation tools to increase efficiency and reduce manual work. Compliance & Controls Strong knowledge of IT General Controls (ITGCs), SOX compliance, and audit frameworks. Experience in building and maintaining reconciliations and controls across finance and infrastructure systems. Leadership & Communication Excellent communication skills to collaborate with stakeholders across technical teams and executive leadership. Proven ability to simplify and present complex technical solutions to non-technical audiences. Experience leading, mentoring, and developing a team of business systems and Salesforce professionals. Nice to Have Proficiency in system customization tools like SuiteScript or similar. Experience with intelligent automation technologies (RPA, NLP, OCR, ML). Exposure to launching internal low-code applications to accelerate business processes. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Define and execute a strategic communications plan to position Lambda as a leader in AI cloud, lead media relations, build executive visibility, and manage corporate messaging across stakeholders. | 12+ years communications leadership in AI, cloud, or enterprise infrastructure, strong financial communications expertise, media relationships, and ability to work closely with technical founders and agencies. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. • Note: This position can be based in our San Francisco/San Jose Office or Remote East Coast. Our current office policy is 4 days a week in office with a designated work from home day as Tuesday. Lambda is unlike any other AI cloud. Founded by twin brothers who published breakthrough deep learning research before ‘AI’ became a buzzword, we’ve grown from pioneering research to specialized hardware to today’s leading AI cloud—now valued at over $2.5B. We’re seeking a Senior Director of Communications to shape how the world sees Lambda—crafting and amplifying our story, our vision, and our unique AI DNA. As Senior Director of Communications, you will: • Define and execute a communications strategy that sets Lambda apart in the AI cloud landscape. • Showcase our founders’ vision and technical edge to technical, business, and investor audiences. • Build a narrative of Lambda’s evolution—from a $2.5B scale-up to an industry leader ready for the big leagues. This role reports to our VP of Marketing and works closely with the founding team, marketing, finance, design, legal, internal communications, product and engineering organizations. You are passionate about AI, blending creativity with operational agility. You thrive in fast-paced, collaborative environments, balance strategic vision with hands-on execution, and are energized by the challenge of communicating breakthrough technology to the world. What You’ll Do Corporate Narrative & Strategic Communications • Drive Lambda’s corporate messaging and position our founders as standout leaders in AI compute—from AI Factories to AI platforms. • Develop and align an integrated communications framework that connects corporate and internal messaging. • Translate company milestones into compelling stories that resonate with investors, analysts, media, and customers. • Build repeatable frameworks for high-impact announcements and ensure alignment across stakeholders. Media, Agency & Visibility Leadership • Lead Lambda’s media strategy, cultivating Tier 1 relationships across tech, business, and financial press. • Secure top-tier placements, thought leadership content, and executive speaking opportunities. • Partner with agencies to amplify reach, providing clear strategic direction and oversight. • Act as a trusted media liaison for Lambda executives, ensuring consistent, compelling brand presence. • Measure and optimize communications impact against engagement, brand awareness, and business goals. Executive & Corporate Communications • Elevate executive voices through keynotes, op-eds, media interviews, and digital platforms. • Partner with Legal, Finance, and other functions to ensure market-ready messaging and stakeholder alignment. • Serve as senior communications counsel in high-stakes moments, protecting Lambda’s reputation and guiding crisis response. • Build and maintain robust crisis communications protocols. You • Strategic thinker who balances long-term brand building with hands-on execution, with both in-house and agency experience. • 12+ years of communications leadership in AI, cloud, or enterprise infrastructure, ideally in high-growth environments. • Deep expertise in financial communications, corporate narrative, and executive positioning. • Proven success scaling communications functions and managing agency partners while aligning with internal teams. • Strong media relationships across Tier 1 tech, business, and financial press. • Skilled storyteller, able to make complex technology accessible and compelling. • Creative, agile, and energized by navigating ambiguity to deliver results. Nice to Have • Experience working directly with technical founders • Product Communications experience in AI Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda • Founded in 2012, ~400 employees (2025) and growing fast • We offer generous cash & equity compensation • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG • Health, dental, and vision coverage for you and your dependents • Wellness and Commuter stipends for select roles • 401k Plan with 2% company match (USA employees) • Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Help to build Lambda’s cloud networking infrastructure and contribute to automation of network configuration. Work with internal and external customers to resolve network-related issues and maintain network monitoring tools. | Candidates should have 3+ years of experience in IT and 1+ years in managing networks. Familiarity with virtualization technologies, firewall policies, and understanding of complex networking topologies is essential. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco/San Jose/Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Help to build Lambda’s cloud networking infrastructure Contribute to automation of network configuration Will be part of operations and on-call for networking Work with internal and external customer to resolve network related issues Work on deploying and configuring networking HW, Switches, FWs, for new clusters Help with deploying and maintaining network monitoring and management tools You Have 3+ years of experience in IT space, and 1+ in managing networks Have experience with virtualization technology, like ESXi, KVM, and VMs management Have experience with FW policies configurations Have experience with multi-data center networks and hybrid cloud networks Have understanding of BGP EVPN VXLAN networks, Spine and Leaf (Clos) network topology Are comfortable on the Linux command line, and have an understanding of the Linux networking stack and internals Have python and/or bash programming experience and worked with git or similar source control systems Nice to Have Experience with Monitoring/Observability tools like Datadog, Splunk, Grafana, Prometheus Have experience building and maintaining Software Defined Networks (SDN) Experience with HPC networking, such as Infiniband or RoCE Experience automating network configuration within public clouds, with tools like Terraform/Ansible/Salt Experience with Next-Generation Firewalls (NGFW) Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Operate and maintain bare-metal Kubernetes clusters while handling cluster degradation and incident response. Collaborate with teams for low-level issues and develop automation for cluster lifecycle management. | Candidates must have 6+ years of experience in SRE or operations roles with strong programming skills in Go and Python. Proven experience operating Kubernetes clusters in production environments is essential. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. What You’ll Do Operate and maintain bare-metal Kubernetes clusters, scaling up to thousands of nodes Handle cluster degradation, recovery, resizing, and incident response using fleet management tools Participate in a well-managed on-call rotation for critical incidents Assist customers with Kubernetes questions, workload integration, storage, and authentication Work closely with our HPC Ops and Datacenter Ops teams for low-level or cross-functional issues Use Python and Golang to create tooling and automate the validation of platform quality. Design, build, and maintain scalable control plane services, operators, and custom controllers for Kubernetes Develop automation for cluster lifecycle management: provisioning, upgrades, patching, and deletion. Define and implement SLOs and SLIs for Kubernetes services, workloads, and platform reliability. About You Must-Have 6+ years of experience in a SRE, operations engineer, or similar role, with a deep knowledge of running Linux clusters and systems Strong programming skills in Go and Python; experience with GitOps (e.g., ArgoCD), Helm, and Kubernetes operators Proven experience operating Kubernetes clusters in production environments (on-prem, EKS, GKE, or similar) Can work either independently with limited direction or as part of a team Can work with customers during incidents either via tickets, live messaging, or as part of a larger call. Familiarity with observability tools like Prometheus, Grafana, FluentBit, and CI/CD pipelines Proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, or similar Nice-to-Have Deep Kubernetes expertise: CRDs, CSI, CNI, Kubernetes Operator Coding experience Exposure to HPC clusters, AI/ML workloads, or large-scale GPU clusters Hybrid or multi-cloud Kubernetes environment experience Contributions to CNCF projects or Kubernetes SIGs Why Join Us Work on cutting-edge Managed Kubernetes platforms for AI/ML workloads Influence the platform roadmap and help shape operations and reliability best practices Collaborate with a highly skilled engineer Opportunity to mentor and grow within a fast-growing, technology-driven environment About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

As a Security Engineer on the Detection & Response team, you'll build and operate detection systems, lead incident investigations, and develop threat intelligence capabilities. You'll coordinate with Security Technical Program Management to drive prioritized security remediations across the organization. | Candidates should have 3+ years of hands-on security engineering experience and 5+ years of total engineering experience, with a focus on detection and incident response. Deep technical expertise with security tooling and strong Linux systems experience are essential. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence. As a Security Engineer on the Detection & Response team, you'll be a core technical contributor building detection capabilities, driving incident response, and eliminating firefighting everywhere possible. Reporting to the Senior Manager of Detection & Response and working within our specialized Detection & Response team, you'll build and operate detection systems, lead incident investigations, develop threat intelligence capabilities, and contribute to red team activities. You'll coordinate closely with Security Technical Program Management to drive prioritized security remediations across the organization, ensuring that critical threats are addressed systematically rather than reactively. You will work on implementing enterprise-grade detection capabilities, automating incident response workflows, developing threat hunting programs, and building tooling that enables 24/7 security operations. You'll have unique access to LLMs hosted on our own infrastructure to implement and experiment with AI-powered detection and response capabilities that wouldn't be possible anywhere else. If you thrive on hunting threats, responding to incidents, and building detection systems that protect cutting-edge AI infrastructure at scale, we'd love to talk. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time. What You’ll Do Incident Response & Operations: Response: Qualify reports and lead response activities from initial triage through remediation and retrospective. Automation: Develop tools and workflows that accelerate incident response and reduce mean time to resolution. Coordination: Drive prioritization and remediation of security findings across engineering teams in coordination with Security Technical Program Management. 24/7 Operations: Participate in on-call rotation, ensuring rapid response to security events that threaten customer data or operations. Threat Detection & Analysis: Detection Engineering: Create and tune detection rules and alerts that identify threats across Lambda's infrastructure before they impact customers or revenue. Threat Intelligence: Research and operationalize threat intelligence specific to AI infrastructure and Lambda's unique threat landscape. Threat Hunts: Proactively search for indicators of compromise and suspicious activity that automated detection might miss. Explore AI-driven Security: Leverage Lambda's hosted LLMs to create AI-powered threat detection, automated triage, and intelligent alert correlation. Offensive Security: Support periodic tabletop exercises and red team activities to test and improve detection coverage and response capabilities. What We Think a Candidate Needs to Demonstrate to Succeed Have 3+ years of hands-on security engineering experience and 5+ years of total engineering experience, with demonstrated impact in detection and incident response. Thrive in high-speed, high-ambiguity startup environments where you build security capabilities while responding to immediate threats. Deep technical expertise with security tooling including SIEM/SOAR platforms, EDR solutions, vulnerability scanners, and cloud security monitoring. Excel at solving problems in Python, Go, or similar languages, building automations that scale security impact. Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!). Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer. Excellence at translating security concerns into business risk, enabling stakeholders to make informed decisions. Nice to Have You've built or contributed to detection engineering programs or incident response capabilities. Experience with threat intelligence platforms, threat hunting methodologies, or purple team exercises. Deep experience with specific SIEM platforms (Splunk, Elastic, Chronicle) or SOAR solutions. Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP. You've developed detection content shared with the security community (Sigma rules, YARA, etc.). Experience responding to incidents in both cloud (AWS, GCP, Azure) and bare metal environments. Security certifications like GCIH, GNFA, GCIA, or similar that demonstrate incident response expertise. Experience with forensics, malware analysis, or reverse engineering. Excitement about leveraging our direct access to state-of-the-art LLMs to enhance detection and response—imagine AI-powered threat hunting, automated incident triage, and intelligent alert correlation at a scale only possible when you host the AI infrastructure yourself. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Define and execute the vision and strategy for Lambda’s cloud and hybrid storage platform, lead technology selection and integration, and ensure performance and scalability for AI workloads. | Bachelor’s degree in a technical field with 7+ years product management experience focused on cloud-scale storage or infrastructure platforms, including expertise in large-scale storage architectures and hybrid cloud integration. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the role The Product Manager, Cloud Storage Platform is a senior technical leader responsible for setting the vision, strategy, and architecture for Lambda’s storage infrastructure across cloud and hybrid environments. You will own the complete lifecycle of our storage platform — from ultra–high-performance block and file systems to petabyte- and exabyte-scale object storage — ensuring it delivers unmatched performance, durability, scalability, and cost efficiency for the most demanding AI workloads in the world. This role demands deep expertise across both software-defined and cloud-native storage architectures, along with the ability to unify them into a seamless, high-performance platform. You will define how storage is delivered, managed, and scaled globally, influencing multi-billion-dollar infrastructure investments and guiding world-class engineering teams to deliver storage capabilities that set a new industry benchmark for AI infrastructure. Key Responsibilities Define and execute the long-term vision and strategic roadmap for Lambda’s storage platform across cloud and hybrid environments, ensuring it delivers uncompromising performance, scalability, durability, and cost efficiency for the world’s largest AI workloads. Lead the evaluation, selection, and seamless integration of advanced storage technologies — spanning block, file, and object architectures — using rigorous benchmarking to optimize IOPS, throughput, latency, and total cost of ownership. Translate complex infrastructure capabilities into clear product requirements, precise service-level objectives (SLOs), and measurable performance benchmarks that align with demanding AI and HPC use cases. Architect and implement intelligent data tiering strategies (hot, warm, cold) to maximize performance where it matters and drive significant cost savings at scale. Collaborate with infrastructure and operations leaders to forecast multi-year capacity growth, design for petabyte-to-exabyte scalability, and ensure consistent performance under peak workloads. Define and enforce lifecycle management, replication, and disaster recovery policies that guarantee data integrity, compliance, and near-zero downtime. Own the observability and optimization roadmap for the storage platform, deploying advanced telemetry, monitoring, and analytics to proactively detect and remediate bottlenecks before they impact customers. Partner closely with engineering to drive continuous performance tuning, eliminate systemic inefficiencies, and ensure the platform remains ahead of industry benchmarks. Minimum Qualifications Bachelor’s degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a closely related technical field. Seven (7) years of progressive, post-baccalaureate experience in product management, including at least four (4) years focused specifically on cloud-scale storage or infrastructure platforms. Proven expertise in the following areas, demonstrated within the required seven (7) years of experience: Designing and delivering large-scale storage platforms, including block, file, and object architectures, for performance-critical workloads. Evaluating and selecting storage technologies through benchmarking of throughput, IOPS, latency, durability, and total cost of ownership. Architecting and managing storage solutions for petabyte- to exabyte-scale datasets, including intelligent tiering strategies. Defining lifecycle management, replication, and disaster recovery strategies to ensure data durability and high availability. Integrating storage services across hybrid and multi-cloud environments to deliver a unified, high-performance platform. Salary range information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

As a Security Engineer on the Architecture team, you will design security architecture patterns and standards to protect customer data. You will conduct security reviews, develop security requirements, and collaborate with engineering teams to integrate security into their designs. | Candidates should have 3+ years of security engineering or architecture experience and 5+ years of total engineering experience. Deep technical expertise in security architecture patterns and the ability to work effectively with cross-functional teams are essential. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence. As a Security Engineer on our Architecture team, you'll be the technical foundation of our security design decisions, creating security architecture patterns and standards that directly protect customer data and enable Lambda to be the safest place to build with AI. Reporting to the Senior Manager of Security and collaborating closely with Product Engineering, Platform Engineering, and embedded Technical Program Managers, you'll drive security architecture improvements across our AI-focused infrastructure. Your work will span security design reviews, threat modeling, architecture patterns, and security requirements that scale with our rapid growth while maintaining the highest security standards. You will work on creating security architecture patterns, conducting threat models and security reviews, establishing security requirements for engineering teams, and developing customer-facing security documentation. You'll have unique access to LLMs hosted on our own infrastructure to pioneer AI-powered security architecture solutions that wouldn't be possible anywhere else. If you thrive on solving complex security design challenges in cutting-edge AI infrastructure and want to build security architectures that scale from hundreds to thousands of systems, we'd love to talk. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role. Your application is not a waste of our time. What You’ll Do Drive Security Architecture: Design and document comprehensive security patterns, standards, and implementation guides that engineering teams can adopt to build secure-by-default systems. Lead Security Reviews: Conduct security design reviews and develop threat models for critical systems, identifying risks and providing actionable recommendations. Develop Security Requirements: Create clear security requirements and acceptance criteria that integrate seamlessly into engineering development cycles. Build Security Solutions: Prototype and implement security controls, tools, and automation that demonstrate secure patterns and enable self-service security. Pioneer AI-Powered Architecture: Leverage Lambda's hosted LLMs to build next-generation security capabilities including automated threat modeling, AI-assisted security reviews, and intelligent architecture recommendations that push far beyond traditional approaches. Collaborate Across Engineering: Partner with Product and Platform Engineering teams to integrate security architecture requirements into their designs at optimal moments. Enable Customer Trust: Develop customer-facing security documentation, architecture whitepapers, and technical security content that demonstrates our security maturity. Mentor Security Excellence: Coach engineers across the organization on secure design principles and security architecture patterns, multiplying your impact. Drive Architectural Standards: Establish and maintain security architecture standards that protect critical assets while enabling development velocity. Advocate for Security: Communicate security architecture value to stakeholders, translating technical risks into business impact for informed decision-making. What We Think a Candidate Needs to Demonstrate to Succeed Have 3+ years of security engineering or security architecture experience and 5+ years of total engineering experience, with demonstrated impact protecting enterprise infrastructure. Thrive in high-speed, high-ambiguity startup environments where you are constantly balancing security goals with business needs. Deep technical expertise in security architecture patterns, threat modeling methodologies, and security design principles. Excel at solving problems through design and prototyping in Python, Go, or similar languages. Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!). Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer. Demonstrated experience driving security improvements that were enthusiastically adopted by engineering teams. Excellence at translating security architecture decisions into business risk, enabling stakeholders to make informed decisions. Nice to Have You've led the security assessment and requirements for major platform components or enterprise systems. Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP. Deep experience with cloud security architecture and cloud provider security services (AWS, GCP, Azure). Experience with AI/ML system security, including model security, data pipeline protection, or adversarial threat modeling (yes, we know it’s all brand new), or other high sensitivity workloads. You've developed security architecture patterns that were adopted across multiple engineering teams. Security certifications like CISSP, OSCP, or similar that demonstrate continued learning. Experience with infrastructure-as-code security patterns and secure DevOps practices. Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security architecture—imagine AI-powered threat modeling, automated security design reviews, and intelligent architecture validation at a scale only possible when you host the AI infrastructure yourself. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lead and grow the AI Cloud Core Platform engineering team, drive roadmap execution, collaborate cross-functionally, and ensure scalable, reliable cloud platform delivery. | 10+ years software engineering with 5+ years management experience in high-growth tech, expertise in large-scale distributed backend systems, leadership in enterprise feature delivery, and strong collaboration skills. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What you’ll do Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities. Drive execution of roadmap features including cluster lifecycle automation. Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers. Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design. Hire, mentor, and grow a team of engineers, providing career development and feedback. Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack. Contribute to a culture of high performance, documentation, humility, and curiosity. Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security. Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making. You 5+ years in a full-time management role at a high-growth technology company 10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems. Proven record of leading and building engineering teams that work on mission-critical, high performance systems. Proven track record leading teams that deliver enterprise features or governance platforms. Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity. Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution. Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability. Ability to understand, review and structure Python and Go applications. Nice to Have Experience with IAM, authentication/authorization (SSO, RBAC, SCIM), governance tooling, or compliance features. Background building cloud application platforms. Experience managing a remote, distributed team Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Lead and manage a team developing high-performance distributed storage protocols and systems tailored for AI workloads, driving technical strategy and cross-functional collaboration. | 10+ years software development with 5+ years management in storage software engineering, expertise in distributed storage protocols and systems, programming in low-level languages, and experience with container orchestration and high-scale storage solutions. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. • Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. In the world of distributed AI, raw GPU and CPU horsepower is just a part of the story. High-performance networking and storage are the critical components that enable and unite these systems, making groundbreaking AI training and inference possible. The Lambda Infrastructure Engineering organization forges the foundation of high-performance AI clusters by welding together the latest in AI storage, networking, GPU and CPU hardware. Our expertise lies at the intersection of: • High-Performance Distributed Storage Solutions and Protocols: We engineer the protocols and systems that serve massive datasets at the speeds demanded by modern clustered GPUs. • Dynamic Networking: We design advanced networks that provide multi-tenant security and intelligent routing without compromising performance, using the latest in AI networking hardware. • Compute Virtualization: We enable cutting-edge virtualization and clustering that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs. About the Role: We are seeking an experienced Software Engineering Manager with a history in the development of storage protocols and distributed storage systems to lead a team of Storage Software Engineers and Distributed Systems Engineers in the design, development, and optimization of cutting-edge distributed storage solutions. Your team will be responsible for building high-performance, scalable, and reliable implementations of object, block, and file protocols, specifically tailored to serve performance demanding AI training and inference workloads. This is a unique opportunity to work at the intersection of large-scale distributed systems and the rapidly evolving field of artificial intelligence infrastructure. You will be building the foundational infrastructure that powers some of the most advanced AI research and products in the world. What You’ll Do • Team Leadership & Management: • Grow/Hire, lead, and mentor a top-talent team of high-performing software engineers focused on delivering distributed storage protocols. • Foster a high-velocity culture of innovation, technical excellence, and collaboration. • Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members. • Drive outcomes by managing project priorities, deadlines, and deliverables using Agile methodologies. • Technical Strategy & Execution: • Drive the technical vision and strategy for our distributed storage protocols (e.g., S3, NFS, iSCSI) and their underlying distributed systems. • Oversee the development of highly optimized storage solutions designed to meet the performance demands of AI/ML workloads (e.g., high throughput, low latency, optimization for AI workload access patterns). • Lead the team in tackling complex distributed systems challenges, including concurrency, consistency, fault tolerance, and data durability across multiple data centers. • Guide engineering team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs. • Deeply understand the performance bottlenecks of existing storage systems and guide the team in developing innovative solutions to overcome them. • Lead the team in supporting customers. • Cross-Functional Collaboration: • Work closely with AI/ML research and products teams to understand customers storage needs and translate them into technical requirements. • Work closely with the product engineering team to deliver high quality products to customers to meet their unique needs. • Collaborate with product management to define the product roadmap and prioritize features. • Work closely with HPC Architecture, Networking, Compute, and Storage Engineering teams to deploy high-performance distributed storage protocols to serve AI/ML workloads. • Partner with fleet engineering and platforms teams to ensure seamless deployment, monitoring, and maintenance of the distributed storage protocols. • Work in lock-step with the Storage Engineering team to provide reliable storage products on top of a variety of physical storage solutions. • Innovation & Research: • Stay current with the latest trends and research in distributed systems, storage technologies, and AI/ML hardware/software advancements. • Work with the Lambda product team to uncover new trends in the AI inference and training product category. • Encourage and support the team in exploring new technologies and approaches to improve system performance and efficiency. You • Experience: • 10+ years of experience in software development, with at least 5+ years in a management or lead role in storage software engineering. • Demonstrated experience leading a team of software engineers on complex, cross-functional projects in a fast-paced startup environment. • Extensive hands-on experience in designing and implementing distributed storage systems. • Experience with storage protocols serving storage volumes at a scale greater than 20PB. • Experience developing and tuning distributed storage protocols across scaling challenges using namespacing, sharding, and caching strategies. • Familiarity with deploying and running applications on Kubernetes or other container orchestration systems (e.g., AWS ECS, Hashicorp Nomad). • Strong project management skills, leading high-confidence planning, project execution, and delivery of team outcomes on schedule. • Technical Skills: • Knowledge in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre). • Professional individual contributor experience in languages such as C++, Go, Rust, or Python. • Familiarity with modern storage technologies (e.g., NVMe, RDMA) and their role in optimizing performance. • Experience with containerization technologies (e.g., Docker, Kubernetes) and their integration with storage solutions. • Distributed Systems Knowledge: • Solid understanding of distributed systems concepts, including consensus algorithms (e.g., Raft, Paxos), distributed caching, failure recovery, consistency models (e.g., eventual consistency), fault tolerance, data replication, load balancing, and distributed consensus algorithms • People Management: • Experience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting. Nice to Have • Experience: • Demonstrated delivery of distributed storage protocols in a CSP (Cloud Service Provider), NCP (Neo-Cloud provider), HPC-infrastructure integrator, or AI-infrastructure company. • Experience with storage protocols serving storage volumes at a scale greater than 100PB. • Implementation of distributed storage protocols backed by a variety of storage solutions, performance-tuned for AI/ML workloads. • Experience driving cross-functional engineering management initiatives (coordinating deployments, strategic planning, coordinating large projects). • Technical Skills: • Deep expertise in one or more of the following storage protocols: object storage (e.g., S3), block storage (e.g., iSCSI), or file storage (e.g., NFS, SMB, Lustre). • Strong programming skills in languages such as C++, Go, Rust, or Python. • In-depth knowledge of operating system internals, including file systems, caching, and I/O scheduling. • AI/ML Domain Knowledge: • Experience working with AI/ML training and inference frameworks (e.g., TensorFlow, PyTorch). • Understanding of the unique data access patterns and performance requirements of AI workloads. • Distributed Systems Knowledge: • Proven ability to design and debug highly concurrent and fault-tolerant systems. • People Management: • Experience driving organizational improvements (processes, systems, etc.) • Experience training, or managing managers. Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda • Founded in 2012, ~400 employees (2025) and growing fast • We offer generous cash & equity compensation • Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. • We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability • Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG • Health, dental, and vision coverage for you and your dependents • Wellness and Commuter stipends for select roles • 401k Plan with 2% company match (USA employees) • Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Design and build IAM platform features including authentication, authorization, MFA, and identity lifecycle management for a scalable AI cloud environment. | 8+ years backend/platform engineering with 3+ years leading IAM/authentication projects, expertise in modern IAM protocols and systems design, programming in Python or Go, and experience with infrastructure as code. | We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. *Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Role Summary Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world. You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services. What You’ll Do Design and build intuitive, beautiful web interfaces for ML/AI cloud users Integrate top-tier tooling, workflows, and models from the AI space Own features end-to-end—from design to deployment to monitoring You (Must-Haves) 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives. Deep expertise in modern IAM patterns and technologies: Authentication (OIDC, OAuth2, SAML) Authorization (RBAC, ABAC, fine-grained permissions) MFA and advanced authentication factors SCIM and identity lifecycle management Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale. Strong architecture and systems design skills for distributed, multi-tenant SaaS environments. Proven track record of delivering IAM features in security-sensitive, high-uptime environments. Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane). Nice-to-Haves Experience designing IAM systems for ML/AI or cloud infrastructure products. Hands-on experience with enterprise onboarding flows. Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure). Contributions to IAM standards or open-source identity projects. Leadership or mentorship experience Strong academic background (EECS, Math, Software Engineering, Physics) Salary Range The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Final Note You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills. About Lambda Founded in 2012, ~400 employees (2025) and growing fast We offer generous cash & equity compensation Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Wellness and Commuter stipends for select roles 401k Plan with 2% company match (USA employees) Flexible Paid Time Off Plan that we all actually use A Final Note: You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills. Equal Opportunity Employer Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.