Drimva

Atoms

Functional Safety Lead

$182K–$238K

San Francisco, CA +1 · Full-time · Posted Sep 1, 2026

Location
San Francisco, CA
San Francisco, California, United States
Experience
8+ years; no alternatives stated.

About the job

Own functional safety analysis and change-impact decisions for Atoms’ automated vehicle platform and sensor suite, while creating reusable methods and tools for safety case engineers.

What you'll do

  • Lead hazard, fault, failure, and sensor-safety analyses; derive safety goals and requirements and maintain hazard-to-evidence traceability.
  • Assess the safety impact of changes to hardware, sensors, software, platform variants, and operating domains, including defining assessment triggers and evidence requirements.
  • Develop reusable analysis methods and tools, including change-impact triage, automated traceability checks, and AI-assisted analysis workflows.

What they ask for

  • 8+ years in functional safety in automotive, automated vehicles, aerospace, industrial automation, or another safety-critical hardware domain, with hands-on analysis experience.
  • Demonstrated ownership of HARA, FMEA, and FTA on systems that shipped.
  • Fluency in ISO 26262, ISO 21448 (SOTIF), and UL 4600; experience making release-gating safety decisions under time pressure.
  • Hardware and electrical depth, plus programming ability in Python or similar to analyze field data and build tooling.

Nice to have

  • Experience authoring or defending a safety case to an external party; functional safety certification such as TÜV FSEng or equivalent demonstrated depth.
  • Experience with fault injection frameworks, HIL, or automated safety verification pipelines.

Pay

$182,000 - $238,000 per year (USD, base salary)

Tools

ISO 26262, ISO 21448 (SOTIF), UL 4600, Python

AI focus

Use and shape AI tools for failure-mode generation, gap checking, standards and requirements research, and change triage; build supporting tools. Treat generated outputs as hypotheses requiring human verification and traceable justification.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)