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Senior Software Safety Engineer, Physical AI

NVIDIA· Architect
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Hybrid (MI (Remote)), Santa Clara, CA$224k - $356.5kfull-timePosted 1w ago

About the role

Senior SW Safety Engineer to join NVIDIA Halos, working on safety for AI-based autonomous systems across the DRIVE platform, robotics, and other safety-critical applications. Responsible for defining, implementing, and verifying safety requirements, engaging with certification processes, and collaborating with internal teams and external bodies to support AI safety.

Responsibilities

  • Be pivotal in ensuring the safety of our AI-based autonomous system software.
  • Engage with a diverse team of engineers across the entire DRIVE platform and related research unit. You will work closely with the groups handling automotive functional safety and safety of the intended functionality.
  • Collaborate with the teams dedicated to robotics, humanoids, industry safety and other safety critical applications across NVIDIA.
  • Apply your skills to guide the teams to specify, build, implement, and verify safety requirements across our software stack from drivers and acceleration libraries to AI-based technologies, including end-to-end models.
  • Help NVIDIA team implementing our Product Life Cycle to integrate the process principles of AI safety.
  • Your role includes engaging in customer interaction and international standardization activities related to safety of Artificial Intelligence.
  • Support system safety activities including decomposition of safety requirements, system and component level build analysis (FTA, DFA, CCF, FMEA, etc.), and architectural safety analysis across hardware and software boundaries.
  • Collaborate with external certification bodies, assessors, and regulators. You will present, defend, and justify safety arguments and evidence. This supports successful safety certification reviews related to functionality and AI.

Qualifications

  • BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience.
  • 12+ years of shown experience in Artificial Intelligence and SW safety related processes, methodologies, tools.
  • Experience in AI safety methods and tools (adaptability testing, uncertainty evaluation, out of distribution detection, and other related methods).
  • Familiarity with system software development and embedded platforms.
  • Strong written and verbal communication skills.
  • Experience in reviewing existing processes and finding gaps to suggest improvements.
  • Experience producing safety plans, safety analyses reports, safety case documentation, and evidence packets in support of safety certification and audit activities.

Skills

Required:Safety planningAI safety methodsSystem software development & embedded platforms

Benefits

  • equity
  • benefits (as per company listing)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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