Software Engineer - Ride and Fleet Services
Hybrid San Diego Foster CitySeattle Full-time Mid-level Software Engineering
At a glance
Mid-level Software Engineering role at Zoox. San Diego · full-time · $172,000–$230,000 base.
SalaryStated by Zoox
$172,000 – $230,000
Base salary for this role, in USD per year, as published in the posting.
This role, from ZooxOur estimate for the market: $138,625–$176,875Median $150,738
Above the market median of $150,738 for mid-level software engineering roles in San Diego.
Worked out from 18 postings that stated pay, median $150,738. Last updated Oct 8, 2026.
RoleSoftware Engineering
SeniorityMid-level
LocationSan Diego
WorkplaceHybrid
EmploymentFull-time
Base pay$172,000–$230,000
PostedMay 12, 2026 · 5mo ago
Also hiring inFoster City, Seattle
Role brief
techroles summary, based on the employer's posting.
What you'll do
- Build a backend service that assigns robotaxi missions across rides, charging, cleaning and other fleet needs
- Develop real-time dispatch and route-planning methods using operational research techniques
- Apply optimization methods to forecast demand, analyze data and model transport networks
- Connect dispatch algorithms to the robotaxi platform and test them with simulation models
What you bring
- A degree in computer science, engineering, mathematics, operations research or a related area
- Hands-on algorithm development grounded in operational research methods
- Programming ability in Java or Kotlin, alongside strong mathematical and quantitative problem-solving skills
- A solid foundation in machine learning, AI, operations research and data analysis
Who this fits
This mid-level role suits a software engineer focused on dispatch optimization and backend services. It is based in San Diego and listed as hybrid.
From the employer
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!
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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.
Follow us on LinkedIn
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.