NVIDIA

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 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

Design and build scalable data platforms, orchestration layers, and system foundations for quantum computing applications. | Senior software engineer with 10+ years experience in production systems, backend and data technologies, and knowledge of quantum computing concepts. | 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

Provide onsite and remote support for NVIDIA Ethernet and AI infrastructure as primary technical contact, collaborating with Engineering and Marketing to resolve issues and document support methods. | 5+ years hardware/software support experience, degree in Networking, Computer Science or Electrical Engineering, strong L2/L3 networking and Linux triage skills, AI technology experience required. | We are seeking a highly motivated Senior HPC Support Engineer – Ethernet / AI Infrastructure to be engaging with one of our prestige customers onsite and remote, passionate about data center and networking technologies, to provide comprehensive solutions for sophisticated installations, maintenance, or operations for a broad scope of groundbreaking networking products. You will act as the primary point of contact for this customer. You will spend a minimum of one week per month at the customer site in Memphis, TN, US, supporting technical questions, debugging, and issue resolution. As a member of our NVEX Global Technical Support team, you are a conscientious, proficient communicator who is fundamentally interested in taking ownership in resolving issues, while ensuring that a high level of customer satisfaction is maintained and delivered. Significant part of the role is also to collaborate with Engineering, Marketing, and Support teams regularly on technical issues. What you will be doing: Ability to resolve sophisticated customer concerns and technical issues through meticulous research, reproductions, and solving problems for customers installing our products and supporting systems using Linux Operating Systems (multi-distro), with the focus on NVIDIA Ethernet Switching technologies and our End-to-End Solutions such as NVIDIA Spectrum-X. Responding to customer product support inquiries via telephone, email or conference calls Resolving customer issues during installation, operation, maintenance or product application or interoperability with other vendors Participate in multi-functional team meetings and giving feedback to engineering and marketing regarding product requirements, customer experience, support tools, etc. As a technical resource develop, re-define and document standard methodologies to provide to internal teams(Support/R&D) for support process and improvements What we need to see: 5+ years in providing in-depth Customer Support and debugging for hardware and software products. An academic degree from an accredited university or college in Networking, Computer Science/Engineering, or Electrical/IT (or equivalent experience). Shown use of established AI technologies in day-today job responsibilities. Established knowledge of Enterprise platform and systems engineering who understands Linux triage, knowledge about servers and can resolve hardware and/or OS internal issues. Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented including professional-level communication skills, interpersonal skills, with the ability to maintain and lead the overall resolution for any critical issue raised by our customer, under all circumstances. Profound knowledge and experience (solving) in the following skills: Networking Technology, protocols and routing including TCP, UDP, Ethernet, IP, L2, L3 (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF), on Enterprise Level. Linux OS including System Administration and Networking (LFCS / RHCSA) Able to debug networking protocols using tools such as TCPDUMP and Wireshark or similar packet generation and analysis tools. Deep understanding of at least two of the following: data centers, servers, distributed systems, virtualization, deep learning frameworks, containers/containerization (i.e. Docker, Kubernetes) Adoption of AI solutions like Cursor, Gemini, ChatGPT, Copilot, Glean, etc. in your daily work routine. Ways to stand out from the crowd: Knowledge and working experience with the following: Experience in solving problems in large-scale networking and AI Infrastructure environments with overlay technologies (BGP, OSPF, VXLAN, EVPN), RoCE and QoS Concepts Linux, Networking and NVIDIA AI Infrastructure and Operations Certifications such as CCONP, CCIE, JNCIE-DC/ENT, RHCE, LFCS, NCP-AII/AIO/AIN Shell Scripting (Python, bash, Ansible, yaml, etc…) Effective and comprehensive fixing / debugging methodology Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 172,500 USD for Level 3, and 120,000 USD - 207,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Design and develop a scalable distributed platform for GPU asset performance and collaborate across teams to maintain AI cluster reliability. | Over 12 years experience in large-scale production systems with 6+ years full-stack engineering, proficiency in React, TypeScript, Golang, and a bachelor's degree in CS or Engineering. | NVIDIA is hiring experienced software engineers to help scale up its AI Infrastructure. We expect you to have significant software engineering experience with cluster operations, operator development, node health monitoring and working with GPU resource scheduling. We welcome out-of-the-box thinkers who can provide new ideas with strong execution bias. Expect to be constantly challenged, improving, and evolving for the better. You will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications. If you're creative, passionate about GPUs, and love having fun, please apply today! For two decades, we have pioneered visual computing, the art and science of computer graphics. With the invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. What you will be doing: You will be part of an DGX Cloud team responsible for production systems that enable large scalable GPU clusters to be used for a variety of AI workloads. Designing and developing a massively distributed scalable platform which would be used to identify, diagnose and remediate non-performant GPU assets. Working with teams across NVIDIA to ensure production AI clusters run reliability and consistently with maximum performance. Evaluating system failures and improving services based on a well-defined incident management process. Working across all of our product stack: React, Web Components, TypeScript, Golang, PostgreSQL, Temporal, Bazel, Kubernetes What we need to see: Direct experience in a software engineering role within a highly technical organization with demonstrable impact from your work. Highly motivated with strong communication skills, you can work successfully with multi-functional teams, principles, and architects and coordinate effectively across organizational boundaries and geographies. 12+ years in similar role and experience on large-scale production systems. Experience with common software engineering principles, tools and techniques You possess a BS in Computer Science or Engineering or equivalent experience 6+ years of experience doing full-stack engineering 3+ years building and shipping consumer-facing products Proficiency in React, TypeScript/JavaScript, and Golang Proficiency with a SQL database Ways to stand out from the crowd: Technical competency in managing and automating large-scale distributed systems independent of cloud providers. Advanced hands-on experience and deep understanding of cluster management systems (Kubernetes, Slurm, Base Command Manager). Empathy for users, attention to detail, and a passion for creating world-class user experiences Prior experience in asynchronous workflows and/or event driven architecture. Proven operational excellence in maintaining reliable and performant infrastructure. A good understanding of how to use LLMs responsibly and the perils of blindly consuming their output 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 on the planet working for us. If you are 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 20, 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.

Design and implement profiling tools features for cloud environments and collaborate across teams. | Requires 5+ years experience, strong problem solving, full stack skills including Python and JavaScript, fluency in C++, Rust, or Go, and Kubernetes experience. | Job Description: • Join the Developer Tools team as a senior software engineer to work on profiling tools within the growing Nsight family. • Design and implement product features that would help make it possible and easy to collect, analyze, and visualize performance profiling data in cluster and cloud environments. • Communicate across multiple teams to collect and understand the requirements, user needs, and expectations. • Understand how the underlying hardware and software works, and use that knowledge to deliver valuable features to the users. • Collaborate with team members across multiple time zones in a dynamic, high-energy work environment. • Interact with internal and external users, help them get the maximum value out of our products, and deliver their feedback to the product team. Requirements: • Excellent problem solving, collaborative, and interpersonal skills. • Experience working in distributed teams is welcome. • Ability to work across the full stack, including the server side code in Python and frontend code in JavaScript. • Fluency in C++, Rust, or Go (with willingness to write some features in C++). • Track record of working with Kubernetes and in distributed environments. • Strong understanding of algorithms and computer architecture. • BS or MS in EE, CE, CS, Systems Engineering (or equivalent experience). • 5 years of experience in a related software position. Benefits: • Benefits • Eligibility for equity

Build and operate automation and tools for large-scale GPU cluster production operations. | 8+ years experience in production infrastructure, strong programming in Python or Go, Linux and Kubernetes knowledge, troubleshooting distributed systems. | Job Description: • Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments. • Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations. • Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations. • Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows. • Participate in on-call, incident response, debugging, and durable follow-up work. • Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready. Requirements: • 8+ years of experience building or operating production infrastructure. • Strong programming skills in Python, Go, or similar. • Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation. • Ability to troubleshoot distributed systems in production. • Clear communication and ability to work across teams. • BS/MS in Computer Science or equivalent experience. Benefits: • equity • benefits