Turn fleet-simulation components into a self-service environment for data scientists and ML engineers.
Fill gaps and connect simulation, data, and fleet-orchestration algorithms.
Build generalizable mechanisms to measure how orchestration affects fleet efficiency.
Collaborate with data science, ML, and fleet teams to shape the simulation roadmap.
Establish best practices for simulation, evaluation, and data-driven decision-making.

🎯 Requirements

Production Python development or proven ability to learn new languages.
Build tools or services that make complex systems usable by non-specialists.
Familiarity with version control (Git preferred).
Design metrics and mechanisms delivering robust insights.
Strong communication and collaboration skills.
Basic familiarity with C++ or Kotlin.

🎁 Benefits

Paid time off, sick leave, and vacation.
Health insurance.
Zoox stock-based compensation (RSUs and stock appreciation rights).

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