Software Engineer - Ride and Fleet Services

Zoox • Foster City, CA

147d • $160,000 - $225,000 • Hybrid

About The Position

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!

Requirements

• 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 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 problem-solving, analytical, and quantitative skills.

Nice To Haves

• 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 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.

Responsibilities

• 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 time off (e.g. sick leave, vacation, bereavement)
• Unpaid time off
• Zoox Stock Appreciation Rights
• Amazon RSUs
• Health insurance
• Long-term care insurance
• Long-term and short-term disability insurance
• Life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees