Drimva

Zoox

Staff Systems Engineer, Simulation Systems Verification and Validation Lead

$208K–$287K

Foster City, CA · Hybrid · Staff · Full-time · Posted Oct 30, 2026

Experience
8+ years.
Education
M.S. or higher in Systems, Aerospace, Mechanical, Electrical, or Robotics Engineering, Computer Science, Physics, Mathematics, or a related field.

About the job

Leads verification and validation of autonomy simulation, producing evidence on when simulated results can support safety decisions for public-road driving.

What you'll do

  • Own the end-to-end simulation V&V strategy, defining datasets, metrics, and comparison methods across integration levels.
  • Lead the cross-functional validation program, including milestones, risks, dependencies, and decisions.
  • Develop estimators and validation reports, present findings to leadership, and mentor engineers in V&V and systems thinking.

What they ask for

  • M.S. or higher in a listed engineering, computer science, physics, mathematics, or related field.
  • 8+ years of verification and validation experience with safety-critical systems containing software or autonomy.
  • Track record leading technical programs across several teams from an ambiguous problem to delivery.
  • Experience validating a simulation or model against real-world data for decision support; experience with estimators combining simulated and real data or with modeling uncertainties and failure rates.

Nice to have

  • Experience with sensor simulation, neural rendering or generative scene synthesis, perception evaluation, or closed-loop motion-planning evaluation at scale.
  • Familiarity with listed model credibility and safety standards; hands-on Python and SQL; Ph.D. in a relevant field.

Pay

USD 208,000–287,000 per-year-salary (base salary)

Tools

Python, SQL, NASA-STD-7009, ASME V&V 10/20/40, ISO 21448 (SOTIF), UL 4600, ISO 26262, ISO 34502

AI focus

Validates simulation models of closed-loop systems with software or learned controllers, including autonomy across the sensor, perception, planning, and full-pipeline levels.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 5, 2026 (UTC)