Lead Safety Architect - Autonomous Vehicles

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!

• →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

This posting is for an existing vacancy. 

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