Lead Safety Architect - Autonomous Vehicles

Posted Yesterday
Be an Early Applicant
6 Locations
In-Office or Remote
224K-357K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Leads multifunctional initiatives defining safety architectures and requirements for autonomous vehicles. Develops safety concepts and analysis supporting continuous software delivery, improves safety metrics and analysis tools, evaluates safety data, and communicates readiness results. Collaborates with perception, AI, motion planning, and architecture experts to ensure DRIVE products meet rigorous safety standards.
Summary Generated by Built In

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.

Skills Required

  • MS or higher in Computer Science, Robotics, or equivalent experience
  • 12+ years of relevant industry experience
  • Structured approach to systems and software development
  • Proven record leading multifunctional efforts in architecture, development, or verification
  • Excellent analytical and problem-solving skills
  • Strong written and verbal communication skills
  • Experience with ADAS, autonomous vehicle systems, machine learning, or robotics
  • Knowledge and experience in data science and statistics
  • Experience in verification and validation of safety-critical systems
  • Knowledge of radar, lidar, and camera sensor technologies
  • Experience with FMEA, FTA, STPA, and safety standards including ISO 26262, IEC 61508, UL 4600, ISO 21448, and ISO 8800

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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