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NVIDIA

Senior Systems Software Engineer – Autonomous Vehicles Infrastructure

Reposted 2 Days Ago
In-Office or Remote
2 Locations
224K-426K Annually
Senior level
In-Office or Remote
2 Locations
224K-426K Annually
Senior level
The role involves architecting, designing, and implementing distributed systems for AV infrastructure, collaborating with teams, and driving technical leadership.
The summary above was generated by AI

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 AV Infrastructure organization and become a key driver in architecting and delivering solutions that improve efficiency, stability, and scalability for our testing infrastructure.

What you’ll be doing:

  • Architect, design, and implement distributed infrastructure solutions to support AV software builds, large-scale simulation testing, and real-time observability.

  • Innovate developer tooling and automation frameworks to mitigate integration challenges, avert regressions, and uphold quality standards.

  • Design comprehensive metrics to monitor system health, workload quality, and resource utilization across complex compute and storage environments..

  • Collaborate deeply with multi-functional AI teams to translate their requirements into scalable, future-proof platforms that boost efficiency and accelerate innovation.

  • Serve as a technical leader, driving architecture decisions and guiding project execution across the entire platform.

  • Partner with software, hardware, safety, and product management teams to translate product visions into actionable architecture and design documentation.

  • Take ownership of driving proof-of-concept projects, writing technical proposals, and championing novel infrastructure solutions that tackle complex, unsolved challenges.

  • Engage in exciting, fun and challenging work involving a plethora of unsolved problems

What we need to see:

  • BS or MS or equivalent experience in Computer Science, Computer Architecture, Electrical Engineering or related field.

  • 12+ years designing and building distributed systems with a strong foundation in Linux systems and infrastructure engineering.

  • Proficiency in Python and deep experience working with container orchestration and cloud/on-prem environments (Kubernetes, Docker, VMs).

  • Familiarity with monitoring, logging, and alerting tools such as Grafana, Prometheus, and ELK stack.

  • Proven ability to debug complex systems spanning infrastructure, build processes, and workload execution

  • Proven capability to collaborate effectively and communicate clearly, with a history of successful partnerships with engineering teams and business partners.

  • Demonstrated problem-solving mentality with a drive to own solutions end-to-end and thrive in a fast-paced, innovative environment.

  • Strong interpersonal skills, capable of leading across geographies and organizational boundaries
     

Ways to stand out from the crowd:

  • Demonstrated technical leadership and architectural impact on critical, large-scale distributed systems deployed in production.

  • Experience building developer tools and automation pipelines that significantly improve build reliability and reduce integration times at scale.

  • Passion for innovation — proven ability to lead proof-of-concept projects and write compelling technical proposals that drive new initiatives.

  • Experience working in autonomous vehicle or related real-time, safety-critical systems is a plus.

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 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.

You will also be eligible for equity and benefits.

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.

Top Skills

Docker
Elk Stack
Grafana
Kubernetes
Linux
Prometheus
Python
Vms
HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

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