Senior System Safety Engineer - Autonomous Vehicles at NVIDIA

You're a seasoned engineer with at least an MS or higher in Computer Science, Robotics, or a related field, and 8+ years of experience, particularly in structur

Work type: remote

Location: US, CA, Santa Clara | US, DC, Remote | US, NC, Remote | US, WA, Remote | US, FL, Remote | US, CA, Remote

Type: Full-time

Summary

You're a seasoned engineer with at least an MS or higher in Computer Science, Robotics, or a related field, and 8+ years of experience, particularly in structured systems and software development. **What makes it worth a look...** NVIDIA is offering a fully remote Senior System Safety Engineer role with a base salary range of $184,000 - $356,500 USD, depending on experience and the specific level. This is a chance to work on cutting-edge autonomous vehicle technology. **You might be a good fit if you...** * Have experience with system safety methodologies like FMEA, FTA, STPA. * Are familiar with safety standards such as ISO 26262, IEC 61508, or UL 4600. * Possess expertise in ADAS, autonomous vehicle systems, Machine Learning, or Robotics. * Have experience with the V&V of safety-critical systems.

Job Description

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.

• 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.

• 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.).

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 17, 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.

View this job on nocollar jobs