NVIDIA

Design and implement AI infrastructure solutions including hardware architecture and workload orchestration. | Bachelor's degree, 3+ years IT infrastructure experience, Linux, Kubernetes, Python, and cloud tooling knowledge. | Are you passionate about enabling the next generation of AI development? We are looking for an early-in-career Solution Architect to join the growing NVIDIA AI Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers design, architect and implement accelerated computing data center solutions that will power workflows including AI inference at scale and physical AI through digital simulation. NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that enable the workloads. On this team, you will do full stack design including hardware architecture, workload orchestration and application performance tuning. At NVIDIA, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What You'll Be Doing • Help customers with their AI factory journey, including workflow pipelines and performance optimization • Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows • Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines • Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem • Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity • Providing expertise in infrastructure workflows, including hardware, task coordination and application tuning • Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution • Work directly with key customers to understand workflows and share feedback with internal product and engineering teams What We Need To See • Bachelor's degree or equivalent experience in Engineering or Computer Science • 3+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise • An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads • Knowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native tooling • Familiarity with Linux system environments including using Linux for systems administration • Comfortable with Python programming • Understanding how software and hardware work together to optimize applications • Ability to work independently with a remote team with minimal direction • Outstanding communication skills, strong interpersonal and be an excellent teammate! Ways To Stand Out From The Crowd • Experience with on-prem infrastructure architecture and big cloud deployments • Experience with cloud native tooling including Terraform, Kubernetes, Helm • Background in building large scale infrastructure that deliver workloads via containers • Experience developing and deploying solutions in hybrid and/or cloud environments • Critical thinking capabilities that leverage fundamentals to deduce solutions to unforseen problems NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2016645

Design and maintain large-scale infrastructure services with automation and observability. | Bachelor's degree and 12+ years experience in infrastructure automation, distributed systems, and relevant programming languages. | We are seeking Systems Engineers and Software Engineers interested in building and running reliable large scale infrastructure platform services. In this organization, you will ensure that our internal and external facing EDA services atop of NVIDIA hardware are running as reliably as needed. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. What you’ll be doing: Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals. Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy. Eliminate toil or automate it where the ROI of building and maintaining automation is worth it. Practice sustainable blameless incident prevention and incident response while being a member of an oncall rotation. Consult with and provide consultation for peer teams on systems design best practices. What we need to see: BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience. 12+ years of relevant experience. A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others. Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud system in production. Experience in one or more of the following: Python, Go, Perl or Ruby. In depth knowledge in one or more of Linux, Networking, Storage, and Containers. Ways to stand out from the crowd: Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Experience accelerating positive impact to the business using coding assistant(s), MCP servers, or AI agents. Experience working with or developing bare metal as a service (BMaaS) associated systems. Experience working with or developing multi-cloud infrastructure services and running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm. Experience teaching reliability (e.g SRE) or more general cloud systems good practices to peers or to other companies (e.g CRE). Background with NVIDIA Collective Communication Library (NCCL). No prior experience having worked in a team of any particular name or having worked in a ML/AI focused team are required but also a nice to have. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Design and deliver enterprise SharePoint Online governance, automation, and migration solutions with leadership and cloud automation expertise. | Senior software engineer with 12+ years experience in networking automation, Python and Go proficiency, and datacenter network configuration management. | NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! What You'll Be Doing • Developing software to enable efficient network design, deployment and day 2 management. • Building product focused software solutions, used by internal and external customers. • Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies. • Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn. • Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations. • Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines. • Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions. • Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, building relationships and collaborating enthusiastically. What We Need To See • BS or equivalent experience with 12+ yrs of relevant industry experience. • Background in networking and network automation (Datacenter / PoPs / Routing) • Strong proficiency in Python and Go web frameworks. • Experience building and shipping production quality software products. • Experience with DCIM tools like Netbox or Nautobot and expertise in designing and implementing network configuration management systems. • Familiarity with containerization using Kubernetes (on-premises, EKS) and streaming telemetry protocols like gRPC/GNMI. Ways To Stand Out From The Crowd • You have architected, built, and deployed a network for a large scale (1000s of machines) in the past, used by 100s of engineers • Hands-on experience with building tooling and automation for provisioning, monitoring, and managing the network infrastructure. • Understanding of networking technologies such as VRFs, VxLAN, EVPN, BGP/OSPF/ISIS and datacenter design. NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 391,000 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2022482

Design and operate scalable vulnerability management workflows and automation to improve vulnerability response. | 12+ years in vulnerability management or related field, experience with security tools, cloud environments, and security frameworks. | Job Description: • Design, improve, and operate scalable vulnerability management workflows across ingestion, triage, prioritization, remediation, and reporting. • Engineer integrations across vulnerability scanners, endpoint tools, cloud platforms, asset inventory, ticketing systems, and remediation workflows. • Build automation to reduce manual effort, improve consistency, and accelerate vulnerability response across engineering teams. • Partner with application, infrastructure, cloud, and platform teams to clarify remediation requirements and drive issues to closure. • Support risk-based vulnerability prioritization using asset context, exploitability, threat intelligence, and business impact. • Embed vulnerability management practices into engineering and CI/CD workflows where appropriate. • Track remediation progress, identify blockers, and communicate outstanding risk to technical and leadership audiences. • Contribute to process improvements, standards, and operational playbooks for enterprise vulnerability operations. Requirements: • 12+ years of experience in vulnerability management, security engineering, AppSec, DevSecOps, PSIRT, or a related technical field. • Bachelor’s degree in computer science, information technology, cybersecurity, or equivalent experience. • Strong understanding of vulnerability management lifecycle, enterprise risk management, CVSS, exploitability, and remediation practices. • Hands-on experience with vulnerability and security tools such as Tenable, Qualys, Tanium, CrowdStrike, or similar platforms. • Experience integrating security tools and workflows using APIs, scripting, automation, or orchestration. • Experience working with cloud environments such as AWS or Azure. • Familiarity with security frameworks and compliance standards such as ISO 27001, NIST, PCI, or SOX. • Strong communication and collaboration skills, with the ability to drive progress across teams without direct authority. • Ability to operate independently, handle ambiguity, and prioritize work in a fast-moving enterprise environment. Benefits: • equity • benefits

Design and operate scalable vulnerability management workflows and integrations to improve remediation and reporting. | 12+ years in vulnerability management or related field, experience with security tools, cloud environments, and security frameworks. | Job Description: • Design, improve, and operate scalable vulnerability management workflows across ingestion, triage, prioritization, remediation, and reporting. • Engineer integrations across vulnerability scanners, endpoint tools, cloud platforms, asset inventory, ticketing systems, and remediation workflows. • Build automation to reduce manual effort, improve consistency, and accelerate vulnerability response across engineering teams. • Partner with application, infrastructure, cloud, and platform teams to clarify remediation requirements and drive issues to closure. • Support risk-based vulnerability prioritization using asset context, exploitability, threat intelligence, and business impact. • Embed vulnerability management practices into engineering and CI/CD workflows where appropriate. • Track remediation progress, identify blockers, and communicate outstanding risk to technical and leadership audiences. • Contribute to process improvements, standards, and operational playbooks for enterprise vulnerability operations. Requirements: • 12+ years of experience in vulnerability management, security engineering, AppSec, DevSecOps, PSIRT, or a related technical field. • Bachelor’s degree in computer science, information technology, cybersecurity, or equivalent experience. • Strong understanding of vulnerability management lifecycle, enterprise risk management, CVSS, exploitability, and remediation practices. • Hands-on experience with vulnerability and security tools such as Tenable, Qualys, Tanium, CrowdStrike, or similar platforms. • Experience integrating security tools and workflows using APIs, scripting, automation, or orchestration. • Experience working with cloud environments such as AWS or Azure. • Familiarity with security frameworks and compliance standards such as ISO 27001, NIST, PCI, or SOX. • Strong communication and collaboration skills, with the ability to drive progress across teams without direct authority. • Ability to operate independently, handle ambiguity, and prioritize work in a fast-moving enterprise environment. Benefits: • equity • benefits

Design and operate scalable vulnerability management workflows and automate remediation processes. | 12+ years in vulnerability management or related field with hands-on experience in security tools, cloud environments, and compliance frameworks. | Job Description: • Design, improve, and operate scalable vulnerability management workflows across ingestion, triage, prioritization, remediation, and reporting. • Engineer integrations across vulnerability scanners, endpoint tools, cloud platforms, asset inventory, ticketing systems, and remediation workflows. • Build automation to reduce manual effort, improve consistency, and accelerate vulnerability response across engineering teams. • Partner with application, infrastructure, cloud, and platform teams to clarify remediation requirements and drive issues to closure. • Support risk-based vulnerability prioritization using asset context, exploitability, threat intelligence, and business impact. • Embed vulnerability management practices into engineering and CI/CD workflows where appropriate. • Track remediation progress, identify blockers, and communicate outstanding risk to technical and leadership audiences. • Contribute to process improvements, standards, and operational playbooks for enterprise vulnerability operations. Requirements: • 12+ years of experience in vulnerability management, security engineering, AppSec, DevSecOps, PSIRT, or a related technical field. • Bachelor’s degree in computer science, information technology, cybersecurity, or equivalent experience. • Strong understanding of vulnerability management lifecycle, enterprise risk management, CVSS, exploitability, and remediation practices. • Hands-on experience with vulnerability and security tools such as Tenable, Qualys, Tanium, CrowdStrike, or similar platforms. • Experience integrating security tools and workflows using APIs, scripting, automation, or orchestration. • Experience working with cloud environments such as AWS or Azure. • Familiarity with security frameworks and compliance standards such as ISO 27001, NIST, PCI, or SOX. • Strong communication and collaboration skills, with the ability to drive progress across teams without direct authority. • Ability to operate independently, handle ambiguity, and prioritize work in a fast-moving enterprise environment. Benefits: • equity • benefits

Design and deploy AI hardware/software solutions and support data center GPU server and networking infrastructure deployments. | Requires 6+ years in solution engineering with system-level understanding of server architecture, networking, and Linux, plus customer-facing skills. | NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution Architecture Engineering (SA) team focused on supporting accelerated computing applications. As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product technology. What You'll Be Doing • Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. • Identifying new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Systems/Network Engineering, Product management and Sales teams • Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster debug, feature discussions and introduction to new technology solutions • Building custom product demonstrations and POCs for solutions that address critical business needs of our customers • Analyzing and debugging compute/network performance issues What We Need To See • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. • This role is for an individual with the motivation and skills to drive the data center engagements. Ideal candidate has 6+ years of Solution Engineering (or similar Engineering roles) experience • System level understanding of server architecture, NICs, Linux, system software and kernel drivers • Practical knowledge of Networking - switching & routing for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes is a plus • Effective time management and capable of balancing multiple tasks • Ability to communicate your ideas/code clearly through documents, presentation etc Ways To Stand Out From The Crowd • External customer facing skill set and background • Experience with bring up and deployment of large clusters • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers • Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions • Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2001503

Drive end-to-end technology solutions integration and support accelerated computing applications for strategic customers. | 6+ years in solution engineering with system-level understanding of server architecture, networking, Linux, and DevOps technologies. | NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution Architecture Engineering (SA) team focused on supporting accelerated computing applications. As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product technology. What You'll Be Doing • Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. • Identifying new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Systems/Network Engineering, Product management and Sales teams • Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster debug, feature discussions and introduction to new technology solutions • Building custom product demonstrations and POCs for solutions that address critical business needs of our customers • Analyzing and debugging compute/network performance issues What We Need To See • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. • This role is for an individual with the motivation and skills to drive the data center engagements. Ideal candidate has 6+ years of Solution Engineering (or similar Engineering roles) experience • System level understanding of server architecture, NICs, Linux, system software and kernel drivers • Practical knowledge of Networking - switching & routing for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes is a plus • Effective time management and capable of balancing multiple tasks • Ability to communicate your ideas/code clearly through documents, presentation etc Ways To Stand Out From The Crowd • External customer facing skill set and background • Experience with bring up and deployment of large clusters • Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers • Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions • Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2001503

Design and build scalable data platforms and orchestration layers for quantum computing systems. | 10+ years experience in production software systems, knowledge of quantum computing concepts, and strong backend engineering skills. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms, orchestration layers, and system foundations for quantum computing platforms. | 10+ years experience with production software systems, knowledge of quantum computing, backend and data technologies, and strong software engineering practices. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms, orchestration layers, and system foundations for quantum computing applications. | 10+ years in production software systems with knowledge of quantum computing concepts and backend technologies. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms, orchestration layers, and system foundations for quantum computing applications. | 10+ years experience in production software systems, knowledge of quantum computing concepts, backend and data technologies, and strong software engineering practices. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms, orchestration layers, and system foundations for quantum computing platforms. | 10+ years experience in production software systems, knowledge of quantum computing concepts, and backend/data technologies like Python, C++, Go. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms, orchestration layers, and system foundations for quantum computing platforms. | 10+ years experience in production-grade software systems, knowledge of quantum computing concepts, and backend/data technologies. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms and orchestration layers for quantum computing systems. | 10+ years software engineering experience with knowledge of quantum computing, backend technologies, and distributed systems. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms and orchestration layers for quantum computing systems. | 10+ years experience in production software systems, knowledge of quantum computing concepts, and strong backend and data technology skills. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms and orchestration layers for quantum computing systems. | 10+ years experience in production software systems, knowledge of quantum computing concepts, and backend/data technologies. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Design and build scalable data platforms, orchestration layers, and system foundations for quantum computing applications. | Senior-level experience in software engineering with knowledge of quantum computing concepts, backend and data technologies, and strong software engineering practices. | At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a senior engineer at the intersection of quantum computing, distributed systems, and advanced data platforms. This role will help path-find the future of high-fidelity, real-time system modeling and co-design for quantum computing platforms. At NVIDIA, we want to help accelerate the entire quantum ecosystem. As a Senior Software Engineer, you will design and build data interfaces, orchestration layers, and system foundations that connect applications, simulation environments, AI models, and emerging computing systems. You will develop scalable data architectures, synthetic data generation pipelines, and agentic systems that enable advanced prediction, analysis, and co-design across complex systems. You will collaborate across Product, Engineering, and Applied Research to explore new platform capabilities for accelerated computing. Do you enjoy building new system abstractions, working across disciplines, and operating at the frontier of software, AI, and physics? If yes, we would love to hear from you! What You'll Be Doing • Build and evolve scalable data platforms and interfaces that integrate heterogeneous system data, simulation outputs, AI model inputs/outputs, and application workflows. • Design and implement agentic orchestration frameworks to support modeling, prediction, and coordination across complex computing systems. • Develop synthetic data generation pipelines and supporting infrastructure for training, validation, and evaluation of AI-driven models. • Implement robust data pipelines, storage systems, and APIs to support high-throughput, low-latency workloads across simulation and real-time environments. • Collaborate closely with research and engineering teams to translate domain-specific models and system signals into performant, reliable systems. What We Need To See • BS, MS, or PhD in Computer Science, Engineering, Physics, or a related field (or equivalent experience). • 10+ years of experience building and operating production-grade software systems, with strong fundamentals in data engineering and distributed systems. • Working knowledge of quantum computing concepts and the ability to collaborate effectively with domain experts. • Hands-on experience with backend and data technologies (e.g., Python, C++, Go, APIs, distributed services, and modern data platforms). • Strong software engineering practices across testing, CI/CD, observability, and performance optimization. Ways To Stand Out From The Crowd • Experience building simulation or modeling platforms in scientific computing, physics, or hardware-software environments. • Experience developing synthetic data pipelines or supporting AI/ML workflows at scale. • Familiarity with agentic systems, orchestration frameworks, or AI-driven automation. • Deeper exposure to quantum computing concepts, including hardware, control systems, or performance modeling. • Experience with GPU acceleration, CUDA, or high-performance computing for large-scale workloads. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 4, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2020378

Manage OEM/ODM partner operations to ensure hardware deployment and operational execution with leadership visibility. | Bachelor's or Master's degree with 8+ years in cross-functional program leadership and strong executive communication skills. | At NVIDIA, we're at the forefront of innovation, redefining the future of computing with our powerful GPU technology. Our GPUs serve as the brains behind computers, robots, and self-driving cars, enabling them to understand and interact with their surroundings. We are seeking a Senior Program Manager to own the operating rhythm between internal teams, OEM/ODM partners, and customer-facing deployment programs. This is a high-visibility, operations-focused role that values process rigor, cross-functional coordination, and leadership transparency over deep technical expertise. What You'll Be Doing: Own the operating rhythm and day-to-day engagement with OEM/ODM ecosystem partners across factory status tracking, hardware deployment achievements, service readiness, and operational execution. Drive cross-functional alignment between internal teams, external partners, operations, supply chain, and deployment collaborators to ensure consistent program visibility. Establish and maintain a consistent operating cadence for program reviews, partner status updates, risk reviews, and executive handling of blocking issues. Track and communicate program readiness across planning, deployment preparation, bring-up execution, validation, and operational handoff achievements. Coordinate post-deployment field data, including bring-up issues, validation results, and operational metrics, with factory and partner workflows. Identify key improvements and promote process updates with ODM/OEM partners. Identify roadblocks, owners, mitigation plans, decision needs, and leadership asks across multiple partner programs. Standardize templates, trackers, dashboards, and review mechanisms for partner programs, deployment services, and leadership updates. Support continuous improvement across partner workflows, deployment execution, and operating processes by bringing to bear data from field operations. What We Need to See: Bachelor's or Master's degree in Business, Operations, Supply Chain, or a related field, or equivalent experience. 8+ years of experience leading cross-functional programs related to operations, supply chain, service delivery, or partner management. Strong collaborator management skills across internal teams, external partners, and leadership audiences. Demonstrated ability to translate ambiguous business or operational needs into structured plans, owners, timelines, and outcomes. Strong executive communication skills, including concise status reporting, risk framing, and managing blocking issues. Proven ability to standardize processes, improve workflows, and build repeatable operating mechanisms. Experience leading programs that require coordination across multiple functions and partner organizations. Strong ownership approach, attention to detail, and ability to drive accountability without direct authority. Ways to Stand Out from the Crowd: Experience collaborating directly with ODM/OEM partners in hardware manufacturing, factory operations, or data center deployment environments. Familiarity with factory production workflows, bring-up and validation processes, and post-deployment operational feedback loops. Background in supply chain operations, partner program management, or infrastructure deployment at scale. Experience building dashboards, trackers, or operational reporting tools that provide leadership access to program health and risks. Knowledge of NVIDIA platforms, AI infrastructure, or GPU-accelerated computing environments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Develop and maintain CI/CD pipelines and release processes for GenAI frameworks. | 3+ years in DevOps/infrastructure engineering, strong Python and shell scripting, containerization, and cluster management experience. | NVIDIA is looking for a dedicated and motivated build and continuous integration (CI/CD) engineer for its GenAI Frameworks (Megatron-LM and NeMo Framework) team. Megatron-LM and NeMo Framework are open-source, scalable and cloud-native frameworks built for researchers and developers working on Large Language Models (LLM), Multimodal (MM), and Video Generation. Megatron-LM and NeMo Framework provide end-to-end model training, including data curation, alignment, customization, evaluation, deployment and tooling to optimize performance and user experience. Building upon the latest DevOps tools, your work will enable GenAI framework software engineers, deep learning algorithm engineers, and research scientists to work efficiently with a wide variety of deep learning algorithms and software stacks as they vigilantly seek out opportunities for performance optimization and continuously deliver high quality software. Does the idea of pushing the boundaries of innovative research and development excite you? Are you interested in getting exposure to the entire DL SW stack? Then join our technically diverse team of DL algorithm engineers and performance optimization specialists to unlock unprecedented deep learning performance in every domain. What You’ll Be Doing • Develop and maintain the continuous integration pipelines and release processes of our Generative AI framework and libraries related to Megatron-LM and NeMo Framework. • Implement efficient and scalable DevOps solutions to allow our fast growing team to release software more frequently while maintaining high-quality and maximum performance. • Work with industry standard tools (Kubernetes, Docker, Slurm, Ansible, GitLab, GitHub Actions, Jenkins, Artifactory, Jira) in hybrid on-premise and cloud environments. • Assist with cluster operations and system administration (managing: servers, team accounts, clusters). • Accelerate research and development cycles by automating recurring tasks such as accuracy and performance regression detection. • Developing new quality control measures, e.g. code analysis, backwards compatibility, and regression testing, while employing and advancing best-practices. • Work closely with DL frameworks and libraries (CUDA, cuDNN, cuBLAS, and PyTorch) teams and with other engineering teams within NVIDIA that provide software, testing, and release related infrastructure. What We Need To See • BS or MS degree in Computer Science, Computer Architecture or related technical field (or equivalent experience) and 3+ years of industry experience in DevOps and infrastructure engineering. • Strong system level programming in languages like Python and shell scripting. • Experience with build/release systems and CI/CD with solutions like Gitlab, Github, Jenkins etc. • Experience with Linux system administration. • Experience with containerization and cluster management technologies like Docker and Kubernetes. • Experience in build tools, including Make, Cmake. • A strong background in source code management (SCM) solutions such as GitLab, GitHub, Perforce, etc. • Well-versed problem-solving and debugging skills. • Great teammate who can collaborate and influence others in a dynamic environment. • Excellent interpersonal and written communication skills. Ways To Stand Out From The Crowd • Proven-track record with GPU accelerated systems at scale. • Well-versed in DL frameworks such as PyTorch, Jax, or TensorFlow. • Expertise in cluster and cloud compute technologies, e.g.: SLURM, Lustre, k8s • Software and hardware Benchmarking on high-performance computing systems. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until February 23, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. , , JR2013494