Lead Safety Architect - Autonomous Vehicles

at Nvidia

📍 Santa Clara, United States

USD 224,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Communication @ 7 Data Science @ 4 Machine Learning @ 4 Robotics @ 4 Software Development @ 6 Statistics @ 4

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.

At NVIDIA, 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.

Responsibilities

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.

Requirements

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..)

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.