Software Engineer - Ride and Fleet Services
Where you can work from
🇺🇸 United States
Posting location: San Diego, CA. Eligibility is read from the employer's own posting and usually requires the right to work in the country shown — confirm on the company's page before applying.
Open to applicants from: United States
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.