Senior Software Systems Engineer - Simulation Evaluation & Validation

@ Zoox

Senior Software Systems Engineer - Simulation Evaluation & Validation

Posted today

About the job

Zoox creates autonomous vehicles and a mobility ecosystem, focusing on simulation validation, sensor analysis, and scalable testing for urban mobility.

Requirements

5+ years in evaluation or robotics
Proficiency in Python and data analysis
Knowledge of statistical methods
Strong communication skills
Experience with sensor data

Qualifications

Degree in CS, Robotics, or related
Experience with autonomous vehicle software
Large-scale evaluation pipeline experience
Applied statistics knowledge

Full job description

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:

Design and implement metrics to measure the accuracy of simulated sensors, agents, and virtual environments.
Develop robust strategies for simulator evaluation, including dataset mining, and implement these in large-scale evaluation pipelines.
Write design proposals and drive execution while proactively communicating risks to partner teams.
Drive consensus on validation methodologies with cross-functional teams in Autonomy, Safety, and Simulation.

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 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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