Senior Staff / Principal Software Engineer - Freeway Autonomy
Listed by employer · Checked
Posting date unknown
- Work arrangement
- hybrid
- Employment
- Full-time
- Stated compensation
- USD 340,000–493,000 per-year-salary
- Stated sponsorship
- Not stated
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Choose a country to check geographic compatibility. The source requirements are available below.
This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 10
“10+ years of industry software experience”
See matched passage in original description ↓ - Employment type
- Full-time
- Compensation
- USD 340,000–493,000 per-year-salary
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Work authorization
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
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++
Matched by role category. Review each posting’s requirements before applying.