Software Engineer, Fleet Simulation (Core Data Science)

Zoox

Foster City (CA)

On-site

USD 150,000 - 190,000

Full time

14 days+

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Job summary

Zoox is seeking to advance its fleet simulation capabilities within the Core Data Science team. You will build a self-service simulation environment that lets data scientists and ML engineers measure the impact of dispatch, routing, and vehicle assignment algorithms on fleet efficiency.

You will connect disparate simulation components with data and orchestration algorithms, establish best practices, and collaborate with data science, ML, and fleet teams to drive the simulation roadmap.

Qualifications

  • Proficient Python development in production environments.
  • Experience building tools for non-specialist users.
  • Familiarity with Git version control.
  • Experience with microservices and distributed systems.
  • Experience with simulation or fleet orchestration.

Responsibilities

  • Turn existing fleet-simulation components into a self-service environment.
  • Fill gaps between simulation, data, and fleet-orchestration algorithms.
  • Build generalizable mechanisms to measure orchestration impact on fleet efficiency.
  • Collaborate with data science, ML, and fleet teams to shape the simulation roadmap.
  • Establish best practices around simulation, evaluation, and data-driven decision-making.
  • Communicate effectively with cross-functional teams.

Skills

Python
C++
Kotlin
Git
Microservices
Distributed systems
Simulation
Fleet orchestration
Data science collaboration
Communication

Tools

Python
C++
Kotlin
Git
Docker
Kubernetes

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.
  • 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.
  • 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.
  • 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.
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