Senior System Safety Engineer - Autonomous Vehicles

Posted:
3/1/2026, 8:11:59 AM

Location(s):
California, United States ⋅ Washington, District of Columbia, United States ⋅ District of Columbia, United States ⋅ Santa Clara, California, United States ⋅ Florida, United States ⋅ North Carolina, United States

Experience Level(s):
Senior

Field(s):
AI & Machine Learning

Workplace Type:
Remote

At NVIDIA, we are pushing the boundaries of what is possible in the world of autonomous vehicles. As a leader in autonomous drive technology, we employ some of the most innovative engineers and technologists. We are looking for a Senior System Safety Engineer to join our outstanding team in Santa Clara, CA. This is an outstanding opportunity to help us bring NVIDIA's safe autonomous vehicle technology to the world. You'll play a key role in ensuring the safety of our autonomous driving products at scale, performing safety analysis, and defining safety architectures. The work you will do is exciting, fun, and meaningful. Come be part of a team that is dedicated to achieving the highest standards of safety and innovation!

What you'll be doing:

  • Conduct safety analysis and establish safety concepts to support ongoing and secure software releases.

  • Collaborate with software developers and AI engineers to ensure safety concepts are implemented and evaluated effectively.

  • Analyze fleet data, test, and simulation results, providing timely feedback to developers to continuously improve safety.

  • Help refine processes and tools for analysis and data-driven safety evaluation.

  • Present safety concepts and safety evaluation results to key collaborators and management to reduce risks to the project.

What we need to see:

  • MS or higher in Computer Science, Robotics, or equivalent experience.

  • 8+ years of relevant industry experience.

  • A structured approach to systems and software development.

  • Excellent analytical and problem-solving skills.

  • Strong written and verbal communication skills.

Ways to stand out from the crowd:

  • Expertise in ADAS or autonomous vehicle systems or Machine Learning or Robotics.

  • Proficiency in V&V of safety-critical systems.

  • Knowledge of data science and statistics.

  • Familiarity with sensor technologies, e.g., radar, lidar, camera. Understanding of reliability theory.

  • Experience with system safety methodologies & practices (FMEA, FTA, STPA, etc.) and knowledge of safety standards (ISO 26262, IEC 61508, UL 4600, ISO 21448, ISO 8800, etc.).

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 5, 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.