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Senior Staff / Principal Software Engineer - Freeway Autonomy

Zoox · Foster City, CA

$340K to $493K

Apply on Zoox's site
Company
Zoox
Location
Foster City, CA
Workplace
Hybrid
Team
Software
Pay
$340K to $493K a year, as listed in the posting
Posted
Aug 31, 2026
Category
Machine learning and AI engineering

About the role

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++

Apply on Zoox's site

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