Zoox is seeking a Software Engineer for Fleet Simulation in the Core Data Science group, based in Foster City, California, United States. The Core Data Science team builds data assets and products used across Zoox to measure and improve autonomy and fleet performance. In this role, you will focus on fleet simulation—the environment data scientists use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand their performance before deployment. 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. You will fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms. You will build generalizable mechanisms to measure how orchestration algorithms affect fleet efficiency. You will collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap. You will establish best practices around simulation, evaluation, and data-driven decision-making.

Qualifications: Production software development experience in Python (or demonstrated ability to learn new languages). Experience building tools, services, or frameworks that make complex systems usable by non-specialists. Familiarity with version control (Git preferred). Experience designing metrics and building mechanisms that deliver robust, actionable insights. Strong communication and collaboration skills.

Bonus: Basic familiarity with C++ an

Zoox is seeking a Software Engineer for Fleet Simulation in the Core Data Science group, based in Foster City, California, United States. The Core Data Science team builds data assets and products used across Zoox to measure and improve autonomy and fleet performance. In this role, you will focus on fleet simulation—the environment data scientists use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand their performance before deployment. 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. You will fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms. You will build generalizable mechanisms to measure how orchestration algorithms affect fleet efficiency. You will collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap. You will establish best practices around simulation, evaluation, and data-driven decision-making.

Qualifications: Production software development experience in Python (or demonstrated ability to learn new languages). Experience building tools, services, or frameworks that make complex systems usable by non-specialists. Familiarity with version control (Git preferred). Experience designing metrics and building mechanisms that deliver robust, actionable insights. Strong communication and collaboration skills.

Bonus: Basic familiarity with C++ an