Software Engineer (Ride and Fleet Services)

Join Zoox, a company dedicated to revolutionizing transportation through autonomous vehicles. As a Software Engineer on the Ride and Fleet Backend team, you will design and build a scalable and efficient robotaxi dispatch service, leveraging operational research techniques for real-time dispatch optimization and route planning. You will also integrate optimization algorithms into the robotaxi platform and use simulation models to test their effectiveness. Enjoy a range of benefits including paid parental leave, health insurance, and a supportive work environment.

• Design and build a scalable, efficient, and robust robotaxis dispatch service, including crafting and refining algorithms for real-time dispatch optimization and route planning.
• Apply operational research methods such as linear programming, integer programming, stochastic processes, and queuing theory to solve complex dispatch problems.
• Integrate optimization algorithms into the robotaxi platform and build and use in-house or 3rd-party simulation models to test dispatch optimization algorithms’ effectiveness.
• Proven experience in algorithm development, with a strong emphasis on operational research methodologies
• Exceptional problem-solving, analytical, and quantitative skills
• Proficiency in programming languages Java or Kotlin
• Strong mathematics skills
• Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field
• Solid background in machine learning, AI, operational research, and data analysis
• Passion for learning new technologies, domains, and challenging the status quo
• Experience with GIS and mapping software
• Experience in building/using fleet simulation tools
• Experience in transportation, logistics, or autonomous vehicles
• 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