Senior Software Safety Engineer, Physical AI

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
MISanta Clara, CA
Salary
$224,000–$356,500 / yr
Employment
Full-time
Posted
13 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $290k
$140k $380k
below market most similar roles pay here above market

This role pays more than 95% of similar roles. Most pay $171,750–$235,750 — the blue band above. At the midpoint, this role pays about $290k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Software Safety Engineer, Physical AI

The Senior Software Safety Engineer, Physical AI joins the Halos team to ensure the safety of AI-based autonomous system software. This role involves collaborating with engineers across the DRIVE platform and research units to specify, build, implement, and verify safety requirements across the software stack, including drivers, acceleration libraries, and end-to-end models. Key responsibilities include performing system and component level build analyses such as FTA, DFA, CCF, and FMEA, as well as architectural safety analysis across hardware and software boundaries. The candidate must utilize skills in AI safety methods like adaptability testing and uncertainty evaluation. Required expertise includes familiarity with embedded platforms, system software development, and safety standards like ISO 26262 and IEC 61508 to support safety certification for autonomous vehicles and robotics.

What you'll do

  • Ensure the safety of AI-based autonomous system software across the entire software stack.
  • Guide teams to specify, build, implement, and verify safety requirements for drivers and AI models.
  • Perform system safety activities including FTA, DFA, CCF, FMEA, and architectural safety analysis.
  • Integrate AI safety process principles into the company's Product Life Cycle.
  • Produce safety plans, analysis reports, safety case documentation, and evidence packets for audits.
  • Present and justify safety arguments and evidence to external certification bodies and regulators.
  • Engage in international standardization activities related to the safety of Artificial Intelligence.

What we're looking for

  • BS, MS, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience.
  • 12+ years of experience in Artificial Intelligence and software safety related processes, methodologies, and tools.
  • Experience in AI safety methods and tools such as adaptability testing, uncertainty evaluation, and out-of-distribution detection.
  • Familiarity with system software development and embedded platforms.
  • Experience producing safety plans, safety analyses reports, safety case documentation, and evidence packets for certification and audit activities.
  • Strong written and verbal communication skills.
  • Experience in reviewing existing processes and finding gaps to suggest improvements.
  • Strong background in safety standards (ISO PAS 8800, ISO/IEC TR 5469, ISO 21448, ISO 26262, IEC 61508) (preferred).

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