Senior Staff / Principal Software Engineer - Freeway Autonomy

Posted 2 Months Ago
Be an Early Applicant
Foster City, CA, USA
Hybrid
340K-493K Annually
Senior level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Lead autonomy-wide initiatives to achieve driverless freeway operation. Define technical vision, strategy, and roadmap; identify and close gaps to driver-out readiness; develop and validate freeway-driving algorithms; communicate risks and trade-offs to technical and executive stakeholders; and mentor engineers. The role requires significant experience taking autonomous vehicle freeway programs from supervised to driverless operation, plus deep expertise in an autonomy domain such as planning, perception, prediction, simulation, or systems engineering.
Summary Generated by Built In

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++

Skills Required

  • 10+ years of industry software experience
  • Demonstrated technical leadership in 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 or 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, including translating complex technical trade-offs for varied audiences and executives
  • 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++

Zoox Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.

  • Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
  • Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
  • Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.

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The Company
HQ: Foster City, CA
2,900 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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