Careers at NVIDIA

We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role is for a senior engineer/architect for our Core team which owns and ships an open source plugin-based AI platform for running and optimizing Agents targeting multiple compute backends (local/docker, Kubernetes, Slurm, etc.). As AI systems become more autonomous and more deeply integrated into real workflows, teams need robust APIs and orchestration systems for running, monitoring, and optimizing Agents at scale. Increasingly, the users of these systems are themselves autonomous or semi-autonomous Agents. The NeMo Platform group is building a sophisticated agent execution framework to enable agents to automatically run hundreds of experiments in parallel to find the most efficient agent architectures for our customers. This is important product engineering research for making agents more sustainable. AI systems are not yet nearly as efficient as they can be, and systems like NeMo Platform will allow large scale AI consumers to automatically tune their agents to use fewer tokens and rely on more efficient models with better throughput. What you'll be doing: Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us. This means fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints Designing an Agentic Execution system that are flexible enough to work in many environments (local, k8s, Slurm, on prem / air-gapped) Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems Building and maintain our Core Platform APIs for running jobs, storing data, entities, secrets, and RBAC and Auth Extending our flexible Plugin Architecture that makes it easy for many teams and external customers to install new capabilities into our system Building in the open in our OSS repo, keeping up the high standards that the open source community demands Shipping code at the speed of light with an unlimited token budget using best in class agentic coding tools Improving reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows Building strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows What we need to see: BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field 10+ years of professional software engineering experience building production systems Comfort working in a very fast and ambiguous environment Exceptional communication, both verbal and written. This includes the ability to produce and review high quality architectural RFCs, and to discuss them clearly with the right level of technical detail for the right people (Engineer, Product, Marketing, etc.) Strong system design skills, with a pragmatic flexibility and phenomenal instincts to invent robust systems quickly without over-complicating. Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure Experience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestration Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries Ways to stand out from the crowd: Experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes Experience with sophisticated plugin architectures Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency Experience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deployment Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

We are looking for a Senior Software Engineer to help build NeMo Platform, NVIDIA’s product for developing, evaluating, deploying, and operating AI systems at scale. This role is for a senior engineer/architect for our Core team which owns and ships an open source plugin-based AI platform for running and optimizing Agents targeting multiple compute backends (local/docker, Kubernetes, Slurm, etc.). As AI systems become more autonomous and more deeply integrated into real workflows, teams need robust APIs and orchestration systems for running, monitoring, and optimizing Agents at scale. Increasingly, the users of these systems are themselves autonomous or semi-autonomous Agents. The NeMo Platform group is building a sophisticated agent execution framework to enable agents to automatically run hundreds of experiments in parallel to find the most efficient agent architectures for our customers. This is important product engineering research for making agents more sustainable. AI systems are not yet nearly as efficient as they can be, and systems like NeMo Platform will allow large scale AI consumers to automatically tune their agents to use fewer tokens and rely on more efficient models with better throughput. What you'll be doing: Working in a product research environment where we place big bets on where the future is heading, adapting in real time as we build alongside an industry that is constantly evolving with us. This means fast iteration, high ownership, pragmatic decisions, and performance-minded implementation under production constraints Designing an Agentic Execution system that are flexible enough to work in many environments (local, k8s, Slurm, on prem / air-gapped) Provide senior technical leadership through design reviews, code reviews, mentoring, and ownership of ambiguous cross-component problems Building and maintain our Core Platform APIs for running jobs, storing data, entities, secrets, and RBAC and Auth Extending our flexible Plugin Architecture that makes it easy for many teams and external customers to install new capabilities into our system Building in the open in our OSS repo, keeping up the high standards that the open source community demands Shipping code at the speed of light with an unlimited token budget using best in class agentic coding tools Improving reliability, observability, debuggability, and performance across NeMo Platform, SDKs, plugins, jobs, and developer workflows Building strong test coverage across unit, integration, E2E, Docker, and Kubernetes workflows What we need to see: BS, MS, or equivalent experience in Computer Science, Computer Engineering, or a related technical field 10+ years of professional software engineering experience building production systems Comfort working in a very fast and ambiguous environment Exceptional communication, both verbal and written. This includes the ability to produce and review high quality architectural RFCs, and to discuss them clearly with the right level of technical detail for the right people (Engineer, Product, Marketing, etc.) Strong system design skills, with a pragmatic flexibility and phenomenal instincts to invent robust systems quickly without over-complicating. Strong understanding of reliability, scalability, security, and performance tradeoffs in production infrastructure Experience with distributed systems, cloud-native services, containers, Kubernetes, and job orchestration Excellent Python engineering skills, including API design, typing, testing, debugging, performance analysis, and maintainable software design Experience designing SDKs, libraries, plugins, CLIs, or other developer-facing interfaces Ability to work independently, define technical scope, break down ambiguous problems, and drive work across team boundaries Ways to stand out from the crowd: Experience building, deploying, and iterating on production agentic AI systems at scale in Kubernetes Experience with sophisticated plugin architectures Strong ability to connect technical evaluation work to business outcomes, product quality, user experience, reliability, or operational efficiency Experience with enterprise AI systems where measurement, regression testing, observability, governance, and continuous improvement are required for production deployment Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 170,000 CAD - 220,000 CAD for Level 4, and 225,000 CAD - 275,000 CAD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive 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. Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will turn telemetry and workload data into clear findings and visuals. You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting. These will be coordinated into tools the team actually uses. What you’ll be doing: Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities. Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership. Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work. Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows. What we need to see: 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly. BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience. Strong Python and JavaScript; Comfortable being responsible for an analysis end-to-end. Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk). Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills. Collaboration and communication. Ways to stand out from the crowd: TensorFlow or PyTorch Linux and HPC / large-scale or performance-sensitive environments Experience visualizing high-dimensional problems Diligent, action-biased analysis style 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! NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection. 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 October 2, 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 is looking for a Senior ASIC Verification Engineer to help verify our global IP! This position offers an opportunity to impact an array of products while collaborating with teams from design, architecture, verification, and integration. At NVIDIA, we have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will partner with the design and architecture teams to help make the right implementation choices, craft and implement verification test plans, maintain regressions, close coverage and sign off design or both functional correctness and for meeting performance expectations. This position offers the opportunity to have a real impact on multiple product lines including consumer graphics, self-driving cars, HPC, cloud computing, and AI! What you'll be doing: Develop test plans, tests and verification infrastructure for verifying global IP across multiple products Define, develop, and automate flows and methodologies to efficiently build, deploy, and verify generated RTL Ensure code and functional coverage of all the RTL which you will verify Build verification components using SV/UVM methodology Driving coverage-based verification closure Collaborate with design teams across NVIDIA to find corner cases and resolve verification related issues What we need to see: BS/MS in Electrical or Computer Engineering (or equivalent experience) 5+ years of proven design verification experience Experience in pre-silicon verification (UVM, SystemVerilog), ASIC design/implementation flow, and design automation Programming and scripting experience in Perl or Python Excellent debugging and analytical skills Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB) Strong communication and collaboration skills to interact within the team and across functional teams Ways to stand out from the crowd: Previous experience automating tasks in the design verification process Hands on experience in object-oriented programming Prior design or verification experience at the IP or block level Experience developing methodologies used by others Demonstrated ability to drive a project to completion NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you. #LI-Hybrid 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 for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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 is seeking a skilled Staff Software Development UC Engineer to join our IT-EPE organization and be a key member of Unified Communications and employee collaboration experience. This role will involve Software Development on conferencing systems including Microsoft Teams meeting environments and Cisco RoomOS. It also covers meeting platforms such as Teams, Zoom, Gmeet, and Slack. Employees use these daily on desktop devices, mobile apps, and in meeting rooms. The role requires confirmed Software Development with UC domain knowledge, technical proficiency in Python and Bash automation, API integrations including Microsoft Graph and PowerShell, and strong communication skills. Candidates who have operated enterprise meetings platforms, instrumented UC observability and CQD, and applied AI to full-stack development of UC products will stand out. An appropriate candidate will have an outstanding opportunity to influence a dynamic, technology-focused company that is shaping how people meet, collaborate, and work. If you demonstrate excellence and creative problem-solving, and if you like working with distributed teams, your place is with us! What you'll be doing: You will be key part of design, operations, and evolution of our Unified Communications platform, spanning Cisco Webex RoomOS and room systems, Microsoft Teams Rooms, and related collaboration services. Day to day you will keep meeting spaces reliable, integrate UC with cloud infrastructure, and improve how we observe and automate the estate. Build and maintain integrations using Microsoft Graph, PowerShell, and REST APIs so UC systems stay in sync with identity, calendaring, and IT service platforms. Build, Manage and Extend full-stack development with in UC domain, covering monitoring, admin tooling, and user-facing Products, including AI-assisted capabilities. Operate and enhance Cisco Webex RoomOS and room systems and Microsoft Teams Rooms, including provisioning, policy, firmware lifecycle, and incident response, and support the employee-facing meetings and collaboration experience across rooms, desktops, and mobile clients. Automate administrative and operational work with Java Script, Python, Bash, and generative AI tools with MCP, Inference & LLMs, so routine changes, health checks, and remediations are repeatable and auditable. Instrument UC observability through Call Quality Dashboard (CQD), user experience metrics, and dashboards that reflect what users actually experience in rooms and meetings. Partner with IT, networking, facilities, security, and product teams to troubleshoot issues across rooms, clients, cloud services (Azure and AWS), and the network path. What we need to see: Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience). 6+ years of overall experience in full stack Development, Unified Communications, collaboration engineering, or a closely related Software development role. Hands-on coding with Unified Communications domain knowledge of Cisco Webex RoomOS and room systems and Microsoft Teams Rooms, plus enterprise meetings platforms used by employees such as Microsoft Teams meetings, Zoom, Gmeet & Cisco Webex. Practical software development experience supporting the employee collaboration estate: scheduling and joining meetings, hybrid room-to-desktop interoperability, calendaring, client policies, and day-to-day user experience across chat, calling, and video meetings. IT infrastructure knowledge across Azure and AWS cloud services as they apply to UC, identity, and supporting services. Working knowledge of AI models and development practices, with the ability to manage existing full-stack developed tools pertaining to UC. Demonstrated ability to automate and troubleshoot UC administrative and operational tasks using Python and Bash scripting, along with generative AI tools. Experience with API integrations, Microsoft Graph, and PowerShell. Familiarity with UC observability, CQD, and user experience metrics such as call quality, join success, reliability, and device health. This position is located in the Bay Area. Ways to stand out from the crowd: Familiarity with webcast and streaming infrastructure, including multicast distribution for large-audience live events. Understanding of Contact center deployment, Digital Signage, MDM & Visitor Management system. Basic networking knowledge, including TCP/IP, DNS, DHCP, VLANs, routing, switching, firewalls, and UC troubleshooting tools such as packet capture, call-path analysis, and device logs. AI model knowledge covering speech-to-text, text-to-speech, and speech-to-speech architectures and modules. Excellent analytical, problem-solving, and written communication skills, with a track record of cross-functional collaboration and strong operational ownership. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive 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. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive 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. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive 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. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive 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. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive 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. NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale. What you'll be doing: Build and operate core infrastructure services that power NVIDIA's global AI infrastructure. Architect and develop secure, scalable and highly available cloud-native platform services. Develop software that enables infrastructure orchestration, self-service workflows, and platform automation. Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management. Build observability and security capabilities that improve the reliability and resilience of our infrastructure. Partner with infrastructure and networking teams to deliver production services at scale. Drive operational excellence through automation, monitoring, incident response, and continuous improvement. What we need to see: BS or equivalent experience with 8+ years of relevant industry experience. Strong proficiency in Python and Go, with experience building production-quality software. Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST. Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS). Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms. Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables). Excellent problem-solving, communication, and collaboration skills. Ways to stand out from the crowd: Hands-on experience with network infrastructure including switches, routers, and firewalls. Familiarity with InfiniBand, RDMA, and AI/HPC networking. Experience with NetBox, Nautobot, or similar network source of truth platforms. Contributions to open-source software. Experience with public cloud platforms. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 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.