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Senior Staff / Principal Software Engineer - Freeway Autonomy

Zoox · Foster City · Full-time · Technology / Software & Data
Verified live

Visa & eligibility

Accepts F-1 students
not published
Supports CPT
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Supports OPT
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Supports STEM OPT
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E-Verify employer
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Sponsorship stance
Unknown / not mentioned

The job

Location
Foster City, CA
Work setting
Hybrid
Hours per week
not published
Schedule
not published
Experience required
not published
New graduates accepted
not published

Skills mentioned

c++

Compensation & benefits

Pay range
$340,000–$493,000/yr
Relocation assistance
not published
Health insurance
not published

Benefits mentioned in the posting

vision

Applying

Application deadline
not published
Typical response time
not published
Number of applicants
not published
Posting verified
Verified live
Last checked
Sept. 23, 2026, 3:45 a.m.
Applies directly to employer
Yes

Apply on the employer's site →

Employer

Company
Zoox
Industry
Technology / Software
Company size
not published
Contact
not published
Contact email
not published
Source
Zoox

Full description

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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