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Salary
$194k – $244k per year
Location
Hybrid (Foster City, United States)
Seniority
Middle · 4+ years exp
Visa
H-1B filings in 12 months: 373 · green card filings: 120
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 29, 2026. Zoox scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Zoox is an American autonomous vehicle company founded in 2014 that designs a purpose-built robotaxi rather than retrofitting an existing car. Its vehicle has no steering wheel or driver position, seats four passengers facing each other, drives equally well in either direction and was developed alongside the sensors, compute and software that operate it, which required the company to certify the design under its own self-certification of federal motor vehicle safety standards. Amazon acquired the company in 2020 and it has since begun public robotaxi service in Las Vegas and San Francisco while testing in several other American cities.

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.

In this role, you will:

  • Perform safety analysis and define performance requirements for our motion planning and control systems as our Operational Design Domain (ODD) grows, covering different road/environmental conditions and degraded driving modes.

  • Build and extend fault injection simulations to determine how quickly the vehicle must detect and respond to faults in new ODDs and on next-generation platforms, with the goal to inform safety requirements and specifications.

  • Support simulation pipelines that verify AI driving safety, including setting requirements for the vehicle dynamics models they rely on.

  • Partner with software, hardware and verification and validation teams to ensure that requirements are met through rigorous SIL, HIL and on-vehicle testing.

  • Leverage the latest AI and LLM tools to accelerate the analysis work and automate processes to reduce repetitive manual work.

Qualifications

  • Master’s degree or higher in Robotics, Automotive, Mechanical, Electrical Engineering, or a related field, with 4+ years of relevant experience.

  • Hands-on experience with vehicle motion control systems development.

  • Experience building or using simulations to analyze vehicle dynamic behavior and inform motion control requirements.

  • Strong analytical skills in quantitative analysis and modeling, performance metrics definition, and system-level trade-off analysis.

  • Excellent technical communication and documentation abilities, with demonstrated success working with cross-functional teams in complex technical environments.

Bonus Qualifications

  • Experience with autonomous vehicle development or similar complex robotics systems.

  • Familiarity with requirements management tools (e.g., Polarion, DOORS).

  • Experience with vehicle dynamics modeling and simulation-based safety verification.

  • Familiarity with ISO 26262, ISO 21448, and other industry safety standards.

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