Fleet Simulation Engineer: Self-Service Data Platform

Front Door Defense; Foster City (CA); On-site; USD 191,000 - 266,000; Full time

Benefits offered by this job

Health insurance

Zoox Stock Appreciation Rights

Amazon RSUs

Paid time off

Long-term care insurance

Long-term and short-term disability

Life insurance

Sign-on bonus

Job summary

Zoox in Foster City, CA is seeking a Software Engineer, Fleet Simulation (Core Data Science) to build a self-service fleet simulation environment for data scientists and ML engineers. You will turn existing components into a coherent platform, connecting simulation with data and fleet orchestration, enabling measurement of how algorithms affect fleet efficiency.

The role requires strong Python development, experience building usable tools, and collaboration with cross-functional teams.

Qualifications

• Fluency in Python in a production environment or demonstrated ability to learn new languages.
• Experience building tools, services, or frameworks that make complex systems usable by non-specialist users.
• Familiarity with version control systems (Git preferred).
• Experience designing metrics and building mechanisms that deliver robust, actionable insights.
• Good communication and collaboration skills.

Responsibilities

• Turn fleet-simulation components into a coherent, self-service environment for data scientists and ML engineers.
• Fill gaps and build connective tissue between simulation, data, and fleet-orchestration algorithms.
• Build generalizable mechanisms to measure how 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.

Skills

Python

C++

Kotlin

Algorithm design

Metrics design

Systems thinking

Communication

Tools

Git

Job description

Zoox in Foster City, CA is seeking a Software Engineer, Fleet Simulation (Core Data Science) to build a self-service fleet simulation environment for data scientists and ML engineers. You will turn existing components into a coherent platform, connecting simulation with data and fleet orchestration, enabling measurement of how algorithms affect fleet efficiency.

The role requires strong Python development, experience building usable tools, and collaboration with cross-functional teams.