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! This role focusses on building, deploying, and operating validation platforms at scale. 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:- Optimize and operationalize Bazel-based build/test pipelines, integrating with CI/CD frameworks (e.g. Jenkins, GitLab).
- Enable developers with tools, wrappers, and automation using Go, Python, and Bazel that improve correctness, prevent regressions, and enforce quality gates before code is merged.
- Provide mechanisms for automated analysis, triage, and reporting that helps developers and customers act on results quickly.
- Deploy and operationalize vendor-provided platforms in our cloud-based service platform, starting with test environments to validate dependencies, workflows, and performance.
- Provide visualization and reporting capabilities to surface validation results, coverage metrics, and actionable insights for developers and collaborators.
- Communicate proactively with stakeholders, ensuring no issues are left unattended and infrastructure evolves alongside developer needs.
- Partner closely with internal teams and external vendors to solve issues, refine SLAs, and continuously improve operational reliability and scalability.
What We Need to See:- BS/MS in Computer Science, Computer Engineering, or relevant field (or equivalent experience).
- 5+ years of professional experience in infrastructure, distributed systems, or platform engineering.
- Hands-on experience with Bazel build/test automation frameworks.
- Proficiency in C++, Python, and Bash coding skills.
- Strong background in Linux systems, distributed systems, and infrastructure engineering.
- Knowledge of cloud and on-prem environments, i.e. Kubernetes, Docker, VM infrastructure.
- Strong debugging, problem-solving, and communication skills to work across internal and vendor teams.
- Proven comfort leveraging AI-based development tools, such as Claude Code and Cursor.
- Problem-solving mindset: capable of debugging across the stack (infra, build system, workloads).
Ways to Stand Out from the Crowd:- Prior experience with coverage frameworks (lCOV, Gcov, VectorCAST) and delivering quality metrics in compliance-heavy environments.
- Hands-on experience with static analysis tooling like Coverity, and embedding it into developer workflows.
- Background in safety-critical domains like automotive, with audit-driven workflows.
- Experience in requirements management tools (e.g, Jama) or traceability workflows.
- Strong experience in large-scale distributed systems and using AI to accelerate debug and integration workflows.
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 you're 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 31, 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.
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