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NVIDIA is in the forefront of autonomous drive technology employing some of the most innovative engineers and technologists. We are seeking outstanding engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving systems. In this role, you will focus on applying safety analysis skills and developing innovative safety concepts for the NVIDIA autonomous drive products. Come and be part of a team developing and aligning safety architecture and requirements across NVIDIA and with our partners.
What you’ll be doing:
Collaborate with product definition teams to analyze product features, and define the safe behavior of the product
Work closely with diverse teams of engineers to develop innovative safety concept solutions for handling sophisticated L2++ and L3 use cases, and drive alignment across the NVIDIA engineering organization
Define quantitative metrics based on risk analysis that can be measured at scale with data and simulation
Build creative safety architecture solutions for a drive stack heavily based on ML, and work with the wider team to ensure it is implemented and accurately tested
Perform safety analysis working with teams in multiple domains, including HW and SW teams
We will count on you to guide teams in system safety methodologies for design and verification
What we need to see:
BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
8+ years of confirmed experience in a relevant field (SW architecture, ADAS/AV development, automotive, systems engineering, functional safety, SOTIF or other system safety field)
We are looking for technically strong engineers with a hands-on approach to systems, SW and safety engineering, who thrive working in teams and across multiple domains
Strong written and verbal communication skills to help guide teams on safety concepts and requirements, and to develop clear and concise safety argumentation
We seek engineers who bring experience in safety analysis, safety concept development, safety V&V
Bring a keen eye reviewing existing processes and suggestimprovements/optimizations
Ways to stand out from the crowd:
Hands-on experience with innovative safety engineering methodologies – such as HARA, safety concept and requirements development, safety architecture, safety V&V strategies, safety metrics for SOTIF
Success applying the safety V-Model to sophisticated engineering projects, ideally in all stages of the system development life cycle
Hands-on experience in ADAS or autonomous vehicle systems
Familiarity with safety analysis methodologies & practices (HAZOP, FMEA, FTA, DFA) and Safety standards (ISO 26262, ISO 21448, IEC 61508)
Experience with formal requirements management environments and expressing requirements, behavior and design using SysML
You will also be eligible for equity and .
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