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Salary
$200k – $271k per year
Location
In office (Foster City)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 373 · for this role: 17 · green card filings: 120
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 22, 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 developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of artificial intelligence, robotics, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Zoox is looking for a Radar Engineer with a background in automotive radar systems to join our Advanced Hardware Engineering team.

In this role, you will:

  • Focus on translating stakeholder needs into measurable requirements and test plans for radar. This includes:
  • Defining and documenting the radar requirements
  • Defining and conducting radar testing to drive radar selection and future roadmaps

Qualifications

  • M.S. or PhD in EE, Physics, or Signal Processing
  • 5+ years of experience in radar development and testing
  • MATLAB, Python, Git/GitHub, AI Tools
  • Understanding of the working principles of a typical automotive Radar system (such as FMCW)
  • Experience with hands-on radar troubleshooting for problems that intersect hardware and software
  • Experience integrating radar systems and ideas into ML-based Autonomy Software

Bonus Qualifications

  • Experience in numerical, electromagnetic or system simulation of Radar performance and integration
  • Experience with system engineering workflows and requirement development
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