Zoox
autonomous vehicle fleet
SoftwareEngineer-RideandFleetServices
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer - Ride and Fleet Services at Zoox. Skills: algorithm development, operational research methodologies, Java or Kotlin, machine learning, AI, operational research, data analysis. 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”
What You'll Achieve.
efficiently dispatch missions to our robots; improve robotaxi service efficiency
Industry & Context.
Exceptional problem-solving, analytical, and quantitative skills
What They're Looking For.
Must Have
algorithm development, operational research methodologies, Java or Kotlin, machine learning, AI, operational research, data analysis, mathematics skills
Nice to Have
GIS and mapping software, transportation, logistics, or autonomous vehicles, building/using fleet simulation tools, Ability to lead through ambiguity and work with diverse stakeholders, Ability to Iterate quickly and efficiently on building end-to-end experiences, handling large data sets and scaling service horizontally to a large number of users, developing cloud services and an understanding of design for scalability, performance and reliability, microservice design patterns and DB access, engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations
What You'll Do.
Design and build a scalable
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
and queuing theory to solve complex dispatch problems
Use operational research tools for data analysis
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
How You'll Work.
Team & Collaboration
work with diverse stakeholders
Full Job Description
## Description 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 related field. Proven experience in algorithm development, with a strong emphasis on operational research methodologies. Proficiency in programming languages Java or Kotlin Solid background in machine learning, AI, operational research, and data analysis. Passion for learning new technologies, domains, and challenging the status quo. Strong mathematics skills. Exceptional problem-solving, analytical, and quantitative skills. ## Bonus Qualifications Experience with GIS and mapping software. Experience in transportation, logistics, or autonomous vehicles. Experience in building/using fleet simulation tools. Ability to lead through ambiguity and work with diverse stakeholders. Ability to Iterate quickly and efficiently on building end-t
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