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Salary
$340k – $493k per year
Location
Hybrid (Foster City, United States)
Seniority
Principal · 10+ years exp
Visa
H-1B filings in 12 months: 373 · for this role: 167 · green card filings: 120
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Aug 31, 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 robotaxi solution, and freeways are the next frontier. We are looking for a Senior Staff or Principal Software Engineer who has played a significant role in removing the driver from an autonomous vehicle operating on freeways, and who can help Zoox navigate that same journey. You will bring deep technical expertise in a relevant autonomy domain - the specific domain is flexible - along with the hard-won judgment that comes from having taken a freeway driving program from supervised operation to driverless. This is a highly visible role with broad influence across the Autonomy organization.

In this role, you will:

  • Guide autonomy-wide initiatives toward driverless freeway operation, including setting the technical vision and strategy, building the roadmap, and driving cross-functional execution

  • Identify the highest-risk gaps between our current freeway capabilities and driver-out readiness, and lead the engineering work to close them

  • Develop algorithms that enable freeway driving capabilities, spanning architecture, design, implementation, integration, testing, and verification and validation

  • Communicate technical trade-offs, risk assessments, and readiness recommendations to diverse stakeholders, including senior and executive leadership

  • Mentor engineers across the freeway program and raise the bar for how we design, test, and validate high-speed autonomous driving

Qualifications:

  • 10+ years of industry software experience

  • Demonstrated technical leadership of removing the human driver from an autonomous vehicle operating on freeways or highways

  • Deep technical expertise in at least one autonomy domain, such as behavior/motion planning, perception, prediction, simulation, or systems engineering

  • Proven ability to lead large, cross-functional engineering efforts from ambiguity to shipped results

  • Strong written and verbal communication skills, with the ability to translate complex technical trade-offs for varied audiences including executives

Bonus Qualifications:

  • Experience scaling and operating a driverless service after driver removal

  • Experience constructing safety cases or defining driver-out readiness criteria for high-speed autonomous driving

  • Proficiency in C++

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