← Back to search

Software Engineer - Ride and Fleet Services

Zoox · San Diego · Full-time · Technology / Software & Data
Verified live

Visa & eligibility

Accepts F-1 students
not published
Supports CPT
not published
Supports OPT
not published
Supports STEM OPT
not published
E-Verify employer
not published
Sponsorship stance
Unknown / not mentioned

The job

Location
San Diego, CA
Work setting
Hybrid
Hours per week
not published
Schedule
not published
Experience required
not published
New graduates accepted
not published

Skills mentioned

javamachine learningdata analysis

Compensation & benefits

Pay range
$172,000–$230,000/yr
Relocation assistance
not published
Health insurance
not published

Applying

Application deadline
not published
Typical response time
not published
Number of applicants
not published
Posting verified
Verified live
Last checked
Sept. 23, 2026, 3:45 a.m.
Applies directly to employer
Yes

Apply on the employer's site →

Employer

Company
Zoox
Industry
Technology / Software
Company size
not published
Contact
accommodation
show source text
ghly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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 per
Contact email
Source
Zoox

Full description

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. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.
Eligibility signals are matched from the employer's own wording and shown with the source text so you can check them. A blank field means the posting did not say — not that the answer is no. This is informational only and is not immigration advice. Confirm your work authorization with your DSO before accepting any role.