NVIDIA has become the platform upon which every new AI-powered application is built. From healthcare research applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding, and NVIDIA is right in the center of this revolution. We are seeking a motivated Senior Systems Software Engineer to join our Autonomous Vehicle Infrastructure organization and participate in accelerating the validation and quality of our Autonomous Vehicle (AV) software stack, including coverage, analysis, and tooling development. This role blends infrastructure engineering with developer enablement — ensuring our build/test environments are reliable, scalable, and aligned with safety-critical standards. The ideal candidate is hands-on, adaptable, and eager to bridge infra with developer workflows in a fast-moving environment.What you’ll be doing:<ul><li>Design, deploy, and maintain distributed infrastructure to support AV software builds, simulation, and validation.</li><li>Operate and optimize Bazel-based build/test pipelines, integrating with CI/CD frameworks (e.g. GitLab, Jenkins).</li><li>Support large-scale data and service workflows with a focus on performance, scalability, and reliability.</li><li>Enable developers with tools, wrappers, and automation that improve correctness, prevent regressions, and enforce quality gates before code is merged.</li><li>Provide mechanisms for automated analysis, triage, and reporting that help developers and stakeholders act on results quickly.</li><li>Build dashboards and metrics for system health, workload quality, and resource utilization across compute and storage environments.</li><li>Communicate proactively with stakeholders, ensuring no issues are left unattended and infra evolves alongside developer needs.</li></ul>What we need to see:<ul><li>BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience).</li><li>5+ years of professional experience in infrastructure, distributed systems, or platform engineering.</li><li>Strong background in Linux systems, distributed systems, and infrastructure engineering.</li><li>Hands-on experience with Bazel build system and its integration into CI/CD pipelines.</li><li>Proficiency in C++, Python and Bash.</li><li>Experience with PostgreSQL and data handling at scale.</li><li>Knowledge of cloud and on-prem environments: Kubernetes, Docker, VM infrastructure.</li><li>Familiarity with logging, monitoring, and alerting stacks (Grafana, Prometheus, ELK stack).</li><li>Ability to collaborate across teams and communicate effectively with developers and stakeholders.</li><li>Problem-solving mindset: capable of debugging across the stack (infra, build system, workloads).</li></ul>Ways to stand out from the crowd:<ul><li>Prior experience with coverage frameworks (lcov, gcov, VectorCAST) and delivering quality metrics in compliance-heavy environments.</li><li>Hands-on experience with static analysis tooling like Coverity, and embedding it into developer workflows.</li><li>Background in safety-critical domains like automotive, with audit-driven workflows.</li><li>Experience in requirements management tools (Codebeamer/Jama) or traceability workflows.</li><li>Familiarity with AI-assisted tooling (LLMs, code assistants, automation bots) for accelerating infra and developer workflows.</li></ul>With highly competitive salaries and a comprehensive benefits package, 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 and our engineering teams are growing fast in some of the hottest innovative fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. 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 amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us with the next wave of validation and tooling for autonomous driving solutions. If youre passionate about autonomous vehicles, we would love 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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until September 14, 2025.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.