Software Engineer, Fleet Simulation (Core Data Science)

@ Zoox

Software Engineer, Fleet Simulation (Core Data Science)

Posted today

About the job

Zoox develops autonomous vehicle fleet technology and data assets to enhance urban mobility. The role focuses on creating simulation environments for testing fleet algorithms and improving autonomous systems with a diverse, innovative team.

Requirements

Python programming experience
Building user-friendly tools
Version control knowledge
Metrics design experience
Strong communication skills

Qualifications

Production software development
Experience with complex systems
Familiarity with Git
Designing actionable insights

Full job 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.

Accommodations

If 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.

Show full description