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, focusing on building, deploying, and operating validation platforms at scale. In this role, you will work with internal teams and external partners to integrate distributed systems, manage large-scale data pipelines, and operationalize next-generation validation workflows for autonomous driving.This role offers a chance to start from the ground up: standing up new vendor-provided platforms, validating integration paths, and ensuring infrastructure is reliable, secure, and production-ready. You will combine hands-on engineering, infrastructure deployment, and workflow automation to help scale our AV validation ecosystem.What You’ll Be Doing:<ul><li>Deploy and operationalize vendor-provided platforms in our cloud-based service platform, starting with test environments to validate dependencies, workflows, and performance.</li><li>Build and maintain distributed infrastructure that supports large-scale log ingestion, data processing, and scenario validation at scale.</li><li>Automate workflows and pipelines using Go, Python, Bash, and Bazel to ensure reproducibility, efficiency, and reliable distributed execution.</li><li>Integrate simulation and drive logs (e.g. world model data, road geometries) in various formats (e.g. protobuf, parquet) with validation platforms, ensuring seamless end-to-end coverage analysis.</li><li>Provide visualization and reporting capabilities to surface validation results, coverage metrics, and actionable insights for developers and stakeholders.</li><li>Define and manage access controls, monitoring, and security policies to ensure compliance while enabling smooth collaboration across internal and vendor teams.</li><li>Partner closely with internal teams and external vendors to troubleshoot issues, refine SLAs, and continuously improve operational reliability and scalability.</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>Hands-on experience with Linux systems, Kubernetes/Docker, Terraform, and CI/CD pipelines.</li><li>Strong scripting/development skills in Python, Bash, and exposure in C++ and/or GoLang.</li><li>Familiarity with Bazel build/test automation frameworks.</li><li>Experience in data/log ingestion workflows and distributed compute/storage systems.</li><li>Strong debugging, problem-solving, and communication skills to work across internal and vendor teams.</li><li>Proven comfort leveraging AI based development tools, such as Claude Code and Cursor.</li></ul>Ways to Stand Out from the Crowd:<ul><li>Strong experience in large-scale distributed systems or GPU/CPU cluster deployments, infrastructure automation, data pipelines, and AWS.</li><li>Prior experience with scenario-based validation platforms or AV simulation ecosystems.</li><li>Strong knowledge of logging/monitoring/alerting frameworks (Prometheus, Grafana, ELK stack).</li><li>Experience working directly with external vendors to integrate platforms and operationalize SLAs.</li><li>Proactive use of AI/ML techniques to accelerate log analysis, coverage metrics, or integration 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 21, 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.