Software Engineer - Ride and Fleet Services

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-to-end 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.