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!
• 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

Benefits

• Paid parental leave
• Affinity groups and sports clubs
• Work from home opportunities
• Health insurance
• Our crew’s health and happiness is our first priority. We offer comprehensive health and mental health support, a wellbeing program, and unlimited and flexible paid time away
• We invest in our crew—and their families—for the long term. That includes generous family planning support, caregiver support, and strong cash compensation with great equity upside
• We look after our crew when they’re in the office too. Our famous food program is a great example, featuring a daily changing menu of local and sustainable dishes
• There’s a busy calendar of social events at Zoox, with more sports teams than you can count. And, of course, playing with robots is an important part of the job description

Preferred experience

• Bachelor’s/Master’s degree in Computer Science, Engineering, Mathematics, Operations Research, or related field
• Exceptional problem-solving, analytical, and quantitative skills
• Strong mathematics skills
• Passion for learning new technologies, domains, and challenging the status quo
• 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
• 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