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Zoox

Fully electric autonomous ride-hailing service platform

Senior Staff / Principal Software Engineer - Freeway Autonomy

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeFoster City, CA, USA$340k - $493k /yr

About the Job

Requirements

  • 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 and 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.

Responsibilities

  • 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 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 standard for designing, testing, and validating high-speed autonomous driving.

Desired 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++.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$1.2B
Headquarters
Menlo Park, CA
Founded
2014

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