NVIDIA
Full TimeYou will analyze functional safety of AI-powered autonomous driving platforms, using fault trees, FMEA, and model-based techniques to demonstrate hardware fault metric compliance and develop automation for complex multi-layered system analysis. The role requires 12+ years in systems architecture with demonstrated expertise in safety analysis of embedded systems at hardware and software levels, ideally including automotive ECU architecture and familiarity with ISO 26262 and IEC 61508. Base salary is $224,000–$356,500 USD depending on location and experience.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA – “the AI computing company” is developing a ground-breaking AI-based full stack for autonomous transportation and base platform to support it. This requires a ground-breaking approach to functional safety in the underlying HALOs platform, including scheduling and management of synchronization and diverse HW compute engines, full platform error reporting and degradation, system state management and fail-operational features.
We are seeking outstanding engineers to lead efforts developing the next generation of safe, AI-powered autonomous driving platforms. The focus is on functional safety of the underlying compute and communications platform on which NVIDIA's autonomous products are built. Do you have a desire to work at the confluence of NVIDIA's application stack and the OEM vehicle platforms? Come and be part of a team developing and aligning safety architecture and requirements across NVIDIA and with all of our customers!
What you'll be doing:
What we need to see:
Ways to Stand out from the crowd:
#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.
This posting is for an existing vacancy.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
United States Remote
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