Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we're not just transforming the world of computer graphics and AI; we're setting the stage for the future of autonomous driving. As a Lead Safety Architect, you will be at the forefront of our autonomous vehicle technology, ensuring its safety at scale. You will collaborate with the most innovative engineers and technologists to integrate safety measures into our latest DRIVE products. This role is paramount in achieving and exceeding NVIDIA's high safety standards, making your work both exciting and impactful! What you'll be doing: • Leading multi-functional initiatives to define safety architecture and requirements for autonomous vehicles. • Delivering safety concepts and analysis to enable continuous and safe software deliveries. • Defining and improving safety metrics in collaboration with experts in perception, AI, motion planning, and safety architecture. • Improving processes and tools for safety analysis and data-driven evaluation. • Sharing safety analysis and readiness results with colleagues and management. What we need to see: • MS or higher in Computer Science, Robotics, or equivalent experience. • 12+ years of relevant industry experience. • A structured approach to systems and software development. • Proven record of successfully leading multi-functional efforts in architecture, development, or verification. • Excellent analytical and problem-solving skills. • Strong written and verbal communication skills. Ways to Stand Out from the crowd: • ADAS or autonomous vehicle systems or Machine learning and Robotics experience • Knowledge and experience in Data science and statistics • Worked in V&V of safety-critical systems • Knowledge of Sensor technologies, e.g. radar, lidar, camera • Experience with system safety methodologies & practices (FMEA, FTA, STPA,..) and safety standards (ISO 26262, IEC 61508, UL4600, ISO21448, ISO 8800..) #AutonomousVehicles 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

Leading multi-functional initiatives to define safety architecture and requirements for autonomous vehicles.
Delivering safety concepts and analysis to enable continuous and safe software deliveries.
Defining and improving safety metrics in collaboration with experts in perception, AI, motion planning, and safety architecture.
Improving processes and tools for safety analysis and data-driven evaluation.
Sharing safety analysis and readiness results with colleagues and management.
MS or higher in Computer Science, Robotics, or equivalent experience.
12+ years of relevant industry experience.
A structured approach to systems and software development.
Proven record of successfully leading multi-functional efforts in architecture, development, or verification.
Excellent analytical and problem-solving skills.
Strong written and verbal communication skills.
ADAS or autonomous vehicle systems or Machine learning and Robotics experience
Knowledge and experience in Data science and statistics
Worked in V&V of safety-critical systems
Knowledge of Sensor technologies, e.g. radar, lidar, camera
Experience with system safety methodologies & practices (FMEA, FTA, STPA,..) and safety standards (ISO 26262, IEC 61508, UL4600, ISO21448, ISO 8800..)
#AutonomousVehicles
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until September 19, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision