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Remote role · senior-s

Senior Staff / Principal Software Engineer - Freeway Autonomy

Zoox

Salary$340k - $493k
Before you apply

Role details

The practical picture
Employment
Full-time
Role signal brief

The role, at a glance

Extracted from the source posting · 95% confidence

This role focuses on removing the driver from autonomous robotaxis on freeways. The engineer will lead algorithm development, set technical strategy, and manage cross-functional execution across the autonomy organization.

Compensation
USD 340,000–493,000 / year

What you need

  • Autonomous vehicle freeway autonomy leadership
  • Behavior/motion planning
  • Perception
  • 10+ years of software engineering experience
  • Cross-functional engineering leadership
  • Technical communication

What you will own

  • Guide autonomy-wide initiatives toward driverless freeway operation and set technical vision and strategy
  • Identify high-risk gaps between current freeway capabilities and driver-out readiness
  • Develop freeway driving algorithms across architecture, implementation, integration, testing, and V&V
  • Communicate technical trade-offs and readiness recommendations to senior and executive leadership
  • Mentor engineers in the freeway program on design, testing, and validation of high-speed autonomous driving
Core skills
Autonomous vehicle autonomyBehavior/motion planningPerception algorithmsSimulationSystems engineeringCross-functional leadershipC++Testing and V&V
Internal freshness window ends Oct 21, 2026
View source evidence
  • salary “$340,000 - $493,000 USD per year”
  • location “hybrid, Foster City, CA”
  • must_have “10+ years of industry software experience”
  • must_have “Demonstrated technical leadership of removing the human driver from an autonomous vehicle operating on freeways or highways”
  • must_have “Deep technical expertise in at least one autonomy domain, such as behavior/motion planning, perception, prediction, simulation, or systems engineering”
  • must_have “Proven ability to lead large, cross-functional engineering efforts from ambiguity to shipped results”
  • must_have “Strong written and verbal communication skills, with the ability to translate complex technical trade-offs for varied audiences including executives”
autonomous vehicle autonomybehavior/motion planningperception algorithmssimulation
Role brief

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++