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  1. Home
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  3. engineering
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  5. Software Engineer - Ride and Fleet Services
Zoox logo

Software Engineer - Ride and Fleet Services

Not Disclosed•Full-TimeOn-site

location_on301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States

Apply Now

About the Team

Our Ride and Fleet Backend team is the backbone of Zoox's autonomous fleet management system. We are the brains behind connecting riders and vehicle operators to our robots, ensuring the efficient dispatch of missions across our fleet. Zoox robots handle a diverse range of tasks, including Rideshare Trips, Charging, Cleaning, Return to Depot, R&D missions, and Roaming missions.

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, we aim to provide the next generation of mobility-as-a-service in urban environments. We are a fast-moving, highly execution-oriented team looking for top talent to share our passion for challenging the status quo.

About the Role

You will join a team dedicated to building out the Fleet Dispatch System. In this role, you will design and build a scalable, efficient, and robust robotaxi dispatch service that serves as the core of our operations. Your work will involve crafting and refining algorithms for real-time dispatch optimization and route planning, leveraging operational research techniques to solve complex problems.

Day-to-day, you will apply methods such as linear programming, integer programming, stochastic processes, and queuing theory to optimize our fleet's performance. You will use these tools to analyze data, forecast demand, and model transport networks, ultimately integrating these optimization algorithms into the robotaxi platform. You will also build and utilize simulation models to test the effectiveness of dispatch strategies before deployment.

Hiring Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment; final hiring decisions are ultimately made by humans.

If you need an accommodation to participate in the application or interview process, please reach out to [email protected] or your assigned recruiter.

Our Culture

We are looking for individuals who are passionate about learning new technologies and domains. We value strong problem-solving, analytical, and quantitative skills, and we encourage our team members to iterate quickly and efficiently on building end-to-end experiences. Join us to be part of a team that is redefining urban mobility.

Work location

Work model: On-site

location_on

301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States

Seattle, Washington

Key Responsibilities

  • check_circleDesign and build a scalable, efficient, and robust robotaxis dispatch service
  • check_circleCraft and refine algorithms for real-time dispatch optimization and route planning
  • check_circleApply operational research methods to solve complex dispatch problems
  • check_circleUse operational research tools for data analysis, forecasting demand, and modeling transport networks
  • check_circleIntegrate optimization algorithms into the robotaxi platform
  • check_circleBuild and use simulation models to test dispatch optimization algorithms' effectiveness

Requirements

  • verifiedBachelor's/Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or related field
  • verifiedProficiency in Java or Kotlin
  • verifiedExperience with GIS and mapping software
  • verifiedExperience in transportation, logistics, or autonomous vehicles
  • verifiedExperience in building/using fleet simulation tools
  • verifiedExperience handling large data sets and scaling service horizontally
  • verifiedExperience developing cloud services
  • verifiedKnowledge about microservice design patterns and DB access
  • verifiedKnowledge of engineering practices and patterns for the full software development life cycle

Nice to Have

Experience with GIS and mapping software. Experience in transportation, logistics, or autonomous vehicles. Experience in building or 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.

Benefits & Perks

check_circlePaid time off including sick leave, vacation, and bereavementcheck_circleUnpaid time offcheck_circleZoox Stock Appreciation Rightscheck_circleAmazon Restricted Stock Units (RSUs)check_circleHealth insurancecheck_circleLong-term care insurancecheck_circleLong-term and short-term disability insurancecheck_circleLife insurance
Zoox cover image
Zoox logo
Company

Zoox

Industry

Automotive

Headquarters

Foster City, California

Open Roles

1

We’re reinventing personal transportation — making the future safer, cleaner, and more enjoyable for everyone.

Zoox is an automotive company headquartered in Foster City, California, focused on transforming mobility-as-a-service through advanced autonomous technology. The organization develops a fully autonomous fleet specifically engineered to operate without human intervention, allowing passengers to experience travel in a purpose-built environment. By integrating artificial intelligence directly into the vehicle's driving capabilities, Zoox aims to redefine how people move within urban and suburban landscapes. The company's approach centers on creating a seamless transportation experience where AI handles the driving responsibilities, ensuring safety and efficiency for all riders. This specialized fleet represents a shift from traditional vehicle ownership models toward on-demand, shared mobility solutions designed for the future of transportation.
View company profilearrow_forwardlanguageWebsitelinkLinkedIn
Quick Overview

Experience

Mid Level

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or related field

Job Type

Full-Time

Skills Required

JavaKotlinMachine LearningAiOperational ResearchData Analysis

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Skills, education and keywords

Skills: Java, Kotlin, Machine Learning, Ai, Operational Research, Data Analysis, Linear Programming, Integer Programming, Stochastic Processes, Queuing Theory.

Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or related field; Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or related field.

Frequently asked questions about Software Engineer - Ride and Fleet Services at Zoox

What does a Software Engineer - Ride and Fleet Services at Zoox do?expand_more
A Software Engineer - Ride and Fleet Services at Zoox is responsible for the following: Design and build a scalable, efficient, and robust robotaxis dispatch service; Craft and refine algorithms for real-time dispatch optimization and route planning; Apply operational research methods to solve complex dispatch problems; and Use operational research tools for data analysis, forecasting demand, and modeling transport networks.
What are the requirements for this Software Engineer - Ride and Fleet Services role?expand_more
To qualify for the Software Engineer - Ride and Fleet Services at Zoox position, applicants should have: Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or related field; Proficiency in Java or Kotlin; Experience with GIS and mapping software; Experience in transportation, logistics, or autonomous vehicles; Experience in building/using fleet simulation tools; and Experience handling large data sets and scaling service horizontally.
Where is the Software Engineer - Ride and Fleet Services role at Zoox located?expand_more
Software Engineer - Ride and Fleet Services at Zoox is based in 301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States. This is a on-site role.
Is this Software Engineer - Ride and Fleet Services job remote, hybrid, or on-site?expand_more
Zoox has listed this Software Engineer - Ride and Fleet Services role as on-site.
How much experience is required for this Software Engineer - Ride and Fleet Services role?expand_more
Candidates for Software Engineer - Ride and Fleet Services at Zoox should have mid level.
What skills do you need for the Software Engineer - Ride and Fleet Services role at Zoox?expand_more
Key skills for Software Engineer - Ride and Fleet Services at Zoox include Java; Kotlin; Machine Learning; Ai; Operational Research; Data Analysis; Linear Programming; and Integer Programming.
What education is required for Software Engineer - Ride and Fleet Services at Zoox?expand_more
Educational requirements for this role: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or related field; and Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Operations Research, or related field.
What category does the Software Engineer - Ride and Fleet Services role belong to?expand_more
Software Engineer - Ride and Fleet Services at Zoox is part of the engineering job category on Recrutus.

About Zoox

Zoox is an automotive company headquartered in Foster City, California, focused on transforming mobility-as-a-service through advanced autonomous technology. The organization develops a fully autonomous fleet specifically engineered to operate without human intervention, allowing passengers to experience travel in a purpose-built environment. By integrating artificial intelligence directly into the vehicle's driving capabilities, Zoox aims to redefine how people move within urban and suburban landscapes. The company's approach centers on creating a seamless transportation experience where AI handles the driving responsibilities, ensuring safety and efficiency for all riders. This specialized fleet represents a shift from traditional vehicle ownership models toward on-demand, shared mobility solutions designed for the future of transportation.

Browse more roles: All Zoox jobs, engineering jobs on Recrutus.

Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified employers, salary benchmarks, and remote-friendly teams across India and beyond.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryCareer guidesCareer blogSalary insights
Job types
Contractor jobsFull-Time jobsIntern jobsOther jobsPart-Time jobsPer-Diem jobsTemporary jobs
Top states
Jobs in TexasJobs in New YorkJobs in CaliforniaJobs in FloridaJobs in TennesseeJobs in North CarolinaAll states →
Top categories
Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsSales jobsIT jobsAccounting & Finance jobsHospitality & Catering jobs
Popular skills
CDL-A jobsRegistered Nurse jobsBLS jobsEnglish jobs
Featured employers
Company
About usFAQContactPrivacy policyUS privacy notice

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
Linear Programming
Integer Programming
Stochastic Processes
Queuing Theory
Accessibility