The role involves building and maintaining fleet simulation tools for Zoox's autonomous vehicle fleet, specifically developing Python-based environments that let data scientists measure and improve algorithms for dispatch, routing, and vehicle assignment without requiring deep software expertise.
- Compensation
- USD 185,000–285,000 / year
What you need
- Software development experience in a production environment, with fluency in Python
- Experience building tools, services, or frameworks that make complex systems usable by non-specialist users
- Experience designing metrics and building mechanisms that deliver robust, actionable insights
- Good communication and collaboration skills
- Familiarity with any version control system, with preference for Git
What you will own
- 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
Core skillsPythonGitSoftware developmentSystem designMetrics designC++KotlinMicroservicesDistributed systems
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).
Additional
About ZooxZoox 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.
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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.
