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Software Engineer - Mission Planning

Zoox· Software – Autonomy Software
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Hybrid (Foster City, CA)$163k - $263kFull-timePosted 9mo ago

About the role

Engineer role focused on creating high-level routes for autonomous vehicles, integrating mission planning with cloud services, decision-making, trajectory planning, and controls to enable dynamic, real-time routing in urban environments.

Responsibilities

  • Develop mission planner algorithms, including graph search and integration with behavioral planning
  • Integrate and test your developed applications in the robot, learn and make improvements
  • Work collaboratively with team members to support integration of software components from all teams throughout Zoox
  • Set the short and long term technical direction for the team and collaborate on broader company-wide directions
  • Coordinate cross-functional initiatives with other teams across Mission Planning, Behavioral Planning and Cloud Services

Qualifications

  • BS/MS in Computer Science, Robotics, or a related field and 2+ years of industry experience
  • Programming skills in C++
  • Understanding and experience with a variety of graph search techniques (A*, D*, Dijkstra, etc.)
  • Model real-world problems using Markov Decision Processes (MDPs) or related frameworks
  • Develop scalable solutions for sequential decision-making under uncertainty and constraints
  • Demonstrated ability to write code for a shipped product (commercial robotics, drones, consumer devices, automotive)

Skills

Required:Graph search algorithms

Benefits

  • Zoox benefits package including paid time off (sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Zoox

It's Not a Car | Zoox

Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.

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