Lambda

Design and maintain scalable Kubernetes control plane services and GPU orchestration systems for AI infrastructure. | 6+ years experience with Kubernetes internals, Go, Python, distributed systems, and large-scale cluster management. | 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. About the Role We are seeking a Senior Software Engineer to join our Managed Kubernetes (Mk8s) team. You will play a crucial role in shaping the architecture, reliability, and automation of our Kubernetes-based infrastructure, which powers mission-critical workloads across our global platform. Lambda is building the AI Cloud of the future. We are seeking a Senior Software Engineer to help our development of our Managed Kubernetes platform. Think GKE, but purpose-built for AI workloads and running on bare metal. In this role, you will help build the infrastructure that powers the next generation of AI training and inference at scale. As a Senior Engineer on our Orchestration team, you will contribute to Lambda's managed orchestration services, including Managed Kubernetes, Managed Slurm on Kubernetes, and higher-level platform services for inference and AIOps. You'll work at the intersection of distributed systems, GPU-accelerated computing, and Cloud Native infrastructure to build systems that are reliable, performant, and elegantly simple for our customers. This is not a role for someone who just operates Kubernetes; it's a role for an engineer who understands how compute, network, storage, and security interact, and can build solutions that account for that context — even while focused primarily on the orchestration layer. You'll be working closely with NVIDIA's open-source ecosystem, and partnering with internal teams across the stack to deliver a world-class managed platform. What You’ll Do Design, build, and maintain scalable control plane services, operators, and custom Kubernetes controllers; develop automation in Go/Python for end-to-end cluster lifecycle management — provisioning, upgrades, patching, and deletion Build GPU-aware orchestration systems, working within the platform architecture to support GPU scheduling and resource allocation Partner with the Network team on networking solutions for AI workloads: CNI integration (Cilium, Multus), high-performance fabrics (InfiniBand, RoCE), RDMA, and GPUDirect Write resilient systems that handle failure gracefully — timeouts, retries, backoff, and degraded-mode operation — across large-scale distributed environments Develop platform services for inference: model serving infrastructure, autoscaling based on inference load, and multi-model deployment patterns Build internal tools and CLIs that let ML/AI teams deploy and monitor their own inference services Support and debug production issues through on-call rotation Required Qualifications Have 6+ years of experience in software engineering, with a track record of owning significant technical scope within a team (e.g., driving a project from design through production, or acting as a de facto tech lead on a workstream) Deep understanding of Kubernetes internals: controllers, schedulers, operators, CRDs, CSI, CNI, and the extension patterns that make Kubernetes powerful Solid grasp of distributed systems fundamentals — fault tolerance, graceful degradation, and failure handling in large-scale environments Experience operating the control plane and low-level pieces of large-scale Kubernetes clusters Experience with observability at scale: Prometheus, Grafana, distributed tracing, and building actionable alerting systems Strong programming skills in Go and Python; ability to collaborate effectively on shared codebases Solid knowledge of Linux systems, networking, containers, and cloud infrastructure Take pride in owning and delivering core components of products and platforms Preferred Qualifications Experience building and operating managed Kubernetes services (GKE, EKS, AKS, or similar) or working on Kubernetes control plane components Hands-on experience with NVIDIA's GPU/networking ecosystem: GPU Operator, device plugins, DCGM, MIG, Network Operator, NCCL tuning, or similar Familiarity with HPC and traditional job schedulers (Slurm) and Kubernetes-native batch scheduling (KAI, Volcano, Kueue) Familiarity with GPU, InfiniBand, RDMA, or high-performance computing on Kubernetes Exposure to storage architecture for AI/ML workloads Past contributions to CNCF projects or Kubernetes SIGs a plus If you don’t meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your experience and readiness for this role. Why Lambda Lambda is building the essential infrastructure for the AI era. We're not just another cloud provider: we're a company founded by ML practitioners, for ML practitioners. Our customers include leading AI research labs and enterprises pushing the boundaries of what's possible with artificial intelligence. What makes this role special: You'll be building core platform services the world's largest AI companies will consume NVIDIA partnership: Deep integration with NVIDIA's GPU and networking stack, working with cutting-edge open-source tooling Real technical challenges: Massive scale GPU clusters and the unique demands of AI workloads Cross-stack exposure: Work at the intersection of Kubernetes, networking, storage, and compute — gaining depth across the full infrastructure stack that powers AI workloads, not just the orchestration layer Direct impact: Your work enables AI breakthroughs. Every model trained on Lambda benefits from systems you build World-class team: Work alongside engineers with deep expertise in ML, systems, and infrastructure 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 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 budgeting, forecasting, and financial consolidation across business units with detailed analysis and reporting. | Bachelor's degree and 4-7 years FP&A experience with advanced financial modeling skills in fast-paced 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 San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll Do Planning, Budgeting & Forecasting Support the annual budgeting process and rolling forecast cycles Coordinate inputs across: Infrastructure Finance Commercial / Functional Finance SPV / Entity Finance Maintain and update consolidated financial models Ensure alignment of assumptions across teams Consolidation & Financial Reporting Consolidate financial forecasts across all business units and SPVs Support intercompany and elimination logic in the planning process Produce consolidated views of Revenue, OpEx, CapEx, and Headcount Assist in preparing executive and board-level reporting materials OpEx & Headcount Planning Support company-wide OpEx planning and tracking, including: G&A functions (Finance, Legal, HR, IT) Shared services and overhead costs Own and maintain headcount models: Hiring plans, Compensation assumptions, and Organizational changes Track headcount vs plan and provide variance analysis Budget vs Actuals (BvA) & Performance Analysis Prepare monthly and quarterly BvA reports Analyze variances across Departments, Entities / SPVs, and Cost categories Identify key drivers and partner with business teams to explain performance Planning Systems & Data Management Maintain and administer the company’s FP&A planning system Support data integrity, model updates, and user access and training Improve planning processes and automation where possible Ad Hoc Analysis & Projects Support long-range planning (LRP) and scenario modeling Assist with special projects, including: Cost optimization initiatives Organizational planning Process improvements You Have a bachelor's degree in Finance, Accounting, Economics, or a related field Have 4–7 years of experience in FP&A, corporate finance, consulting, or related roles, ideally with a focus on Cloud / AI infrastructure, Data centers, Telecom, Energy, Hardware or industrials 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 capital-intensive or infrastructure-heavy industries Familiarity with headcount and compensation planning Exposure to SPVs or multi-entity structures Corporate FP&A and / or public company 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 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 design, implementation, and continuous improvement of supply chain and procurement business processes and systems. | 7+ years in supply chain or procurement with strong process improvement and ERP system implementation experience. | 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 San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. About the Role Lambda is seeking a highly motivated and hands-on Supply Chain Systems & Process Lead to drive the design, implementation, and continuous improvement of business processes across Supply Chain, Procurement, Operations, and Finance. This role will serve as the bridge between business teams and system implementations, ensuring processes are scalable, standardized, and effectively enabled through systems such as NetSuite, Coupa, PLM, Asset Management, and related operational tools. The ideal candidate combines strong business process knowledge with systems expertise and has a proven ability to drive initiatives from requirements gathering through implementation and adoption. What You’ll Do Supply Chain Systems & Process Transformation Evaluate current-state business processes and identify opportunities for automation, standardization, and operational efficiency. Design and implement scalable workflows across Supply Chain, Procurement, Materials Management, Asset Management, and Financial Operations. Develop business requirements, process maps, SOPs, and governance frameworks. Drive adoption and continuous improvement of implemented solutions. Systems Ownership & Implementation Partner with Business Systems, Engineering, Finance, and Operations teams to implement and optimize business systems. Lead process design and implementation efforts across NetSuite, Coupa, PLM, Asset Management, and related platforms. Translate business requirements into scalable system solutions. Support testing, user acceptance, deployment, training, and change management activities. Procurement & Financial Operations Enablement Support the implementation and expansion of Coupa and related procurement processes. Improve procurement workflows, approval structures, and reporting capabilities. Partner with Finance and Accounting to improve spend visibility, cost tracking, invoice workflows, and GL alignment. Drive process improvements across procurement, vendor management, and operational spending. Master Data & Process Governance Support Item Master, BOM, and Product Lifecycle Management initiatives. Establish governance around master data, approvals, and change management processes. Improve data quality, process compliance, and operational controls. Cross-Functional Leadership Facilitate workshops and working sessions across Supply Chain, Finance, Accounting, Operations, PMO, Data Center Infrastructure Engineering (DCIE), and Business Systems teams. Drive alignment, decision-making, and execution across multiple stakeholders. Identify risks, dependencies, and process gaps while developing practical solutions. Reporting & Operational Excellence Develop and track process performance metrics. Analyze operational data to identify trends, bottlenecks, and improvement opportunities. Drive continuous improvement initiatives that improve scalability, efficiency, and visibility across the organization. You Required 7+ years of experience in Supply Chain, Procurement, Business Systems, Operations Excellence, or Process Transformation. Strong understanding of Supply Chain, Procurement, Inventory, Asset Management, or Financial Operations processes. Experience with ERP systems such as NetSuite, Oracle, SAP, Microsoft Dynamics, or similar platforms. Experience leading business process improvement and system implementation initiatives. Strong analytical, problem-solving, and stakeholder management skills. Ability to operate independently and drive projects from concept through execution. Nice to Have Experience with NetSuite and/or Coupa. Experience with PLM systems, BOM management, or Item Master governance. Experience in high-growth technology, infrastructure, manufacturing, hardware, or data center environments. Familiarity with process mapping, change management, and operational controls. 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.