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Senior / Staff Software Systems Engineer - Simulation Evaluation & Validation

Evals & Benchmarks6w ago
Source verified: this exact posting was present on Zoox’s careers feed on . View employer source →

What the posting asks for

Names
SQL, Python
Doctorate
Mentioned, without saying whether it is needed
Experience
5+ years asked for

Read out of the employer's own description. Absence means the posting does not say, not that the answer is no.

The role

Simulation is central to ensuring the safety and scalability of autonomous vehicles at Zoox. In this role, you will develop metrics and evaluation pipelines to assess simulator fidelity and guide improvements to our GenAI-powered simulator of virtual worlds with dynamic agents and realistic sensor data. You’ll collaborate with autonomy, safety, and simulation teams to define quantitative validation criteria for simulator fidelity, and use exploratory data analysis to root-cause gaps in simulator performance. Your work will directly support Zoox scaling autonomous driving across multiple cities in increasingly complex environments.

In this role, you will:

  • Define and implement metrics to measure the accuracy of simulated sensors, agents, and virtual environments.
  • Drive consensus on validation methodologies with cross-functional teams in Autonomy, Safety, and Simulation.
  • Develop robust evaluation strategies for simulator fidelity, mine datasets, and lead their implementation in large-scale evaluation pipelines.
  • Write design proposals and drive execution while proactively communicating risks to partner teams.

Qualifications:

  • 5+ years of experience in quantitative evaluation, autonomous robotics, or sensor data analysis (lidar, camera, radar)
  • Proficiency in Python and data analysis (e.g., Pandas, NumPy, SQL), with a strong foundation in data visualization
  • Working knowledge of applied statistical methods (e.g., histograms, probability distributions, simple hypothesis testing)
  • Strong communication skills and thrives in dynamic environments by proactively seeking clarity
  • BS, MS, or Ph.D. in Computer Science, Robotics, or a related field

Bonus Qualifications:

  • Experience with autonomous vehicle software stack (e.g., Perception, Prediction, Planning)
  • Experience implementing large-scale evaluation pipelines
  • Experience using applied statistics for system validation (e.g., confidence intervals, p-values)
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.

Published by Zoox on their own careers page and reproduced here unedited. Read it at Zoox.

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What this listing does not tell you

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Zoox has 3 roles open on this board, 2 of them in evals and benchmarks.

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