Software Engineer - Ride and Fleet Services
Zoox - San Diego, CA
Posted May 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer - Ride and Fleet Services San Diego, CA Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! Our Ride and Fleet Backend team is looking for a Software Engineer to build out the Fleet Dispatch System to efficiently dispatch missions to our robots. Zoox robots take missions like Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions. It is the backbone of our autonomous fleet management system and the brains behind connecting our riders and vehicle operators to our robots! In this role, you will: - Design and build a scalable, efficient, and robust robotaxis dispatch service. - Craft and refine algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques. - Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems. - Use operational research tools for data analysis, forecasting demand, and modeling transport networks to improve robotaxi service efficiency. - Integrate optimization algorithms into the robotaxi platform. - Build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms' effectiveness. Qualifications - Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or
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