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 realtime 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 inhouse or 3rdparty simulation models to test dispatch optimization algorithms effectiveness.
Qualification
Bachelors/Masters 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 like Python Java or Kotlin or C.
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 problemsolving analytical and quantitative skills.
Bonus Qualification
PhD in Operations Research Computer Science or a related field with a focus on optimization algorithms or AI.
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 endtoend experiences.
Experience handling large data sets and scaling service horizontally to a large number of users.
Experience developing cloud services and an understanding of design for scalability performance and reliability.
Knowledge about microservice design patterns and DB access.
Knowledge of 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.
Compensation:
There are three major components to compensation for this position: salary Amazon Restricted Stock Units (RSUs) and Zoox Stock Appreciation Rights. The salary range for this position is $160000 to $225000. A signon bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling as well as positioning within a level is determined by a range of factors including but not limited to a candidates relevant years of experience domain knowledge and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave vacation bereavement) unpaid time off Zoox Stock Appreciation Rights Amazon RSUs health insurance longterm care insurance longterm and shortterm disability insurance and life insurance.
About Zoox
Zoox is developing the first groundup fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics machine learning and design Zoox aims to provide the next generation of mobilityasaservice in urban environments. Were looking for top talent that shares our passion and wants to be part of a fastmoving and highly executionoriented team.
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