Software Engineer, Fleet Simulation (Core Data Science)
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
Foster City, CA
Work setting
Onsite
Hours per week
not published
Schedule
not published
Experience required
not published
New graduates accepted
not published
Skills mentioned
Compensation & benefits
Pay range
$185,000–$285,000/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
The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road.
You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You'll join a diverse, experienced team with rapidly growing scope while working with one of the industry's most valuable autonomous vehicle datasets.
In this role, you will:
Turn existing fleet-simulation components into a coherent, self-service environment that data scientists and ML engineers can run without deep software expertise.
Fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms.
Build generalizable mechanisms that let teams measure how their orchestration algorithms affect fleet efficiency.
Collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap.
Establish best practices and processes around simulation, evaluation, and data-driven decision-making.
Qualifications
Software development experience in a production environment, with fluency in Python; or demonstrated experience learning new programming languages.
Experience building tools, services, or frameworks that make complex systems usable by non-specialist users.
Familiarity with any version control system, with preference for Git.
Experience designing metrics and building mechanisms that deliver robust, actionable insights.
Good communication and collaboration skills.
Bonus Qualifications
Basic familiarity with C++ and/or Kotlin.
Experience with microservices and/or distributed systems.
Experience with simulation and/or fleet orchestration (dispatch, routing, vehicle assignment).
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.