Software Systems Engineer evaluating simulation effectiveness for autonomous driving at Zoox. Collaborating with multiple teams to drive improvements through data analysis and validation design.
Responsibilities
Design and implement metrics to measure and reliably monitor the accuracy and fidelity of simulated sensors, agents, and virtual environments.
Develop simulator validation strategies, including data mining and dataset selection.
Conduct data-driven analyses at both granular and large scale to identify root causes of simulation inaccuracies by comparing simulation outputs to real-world data, and translate those insights into production-quality validation pipelines.
Write design proposals and drive execution while proactively communicating risks to partner teams.
Build alignment and consensus on simulation validation criteria with Autonomy, Safety, and Simulation teams.
Requirements
5+ years of experience in autonomous robotics, sensor processing (lidar, camera, radar), or analyzing complex systems.
Proficiency in Python and data analysis (e.g., Pandas, NumPy, SQL), with a solid foundation in data visualization and basic statistical methods (e.g., histograms, probability distributions, simple hypothesis testing).
Strong critical and analytical thinking, including interpreting complex data to identify impactful insights or root causes.
Strong written and verbal communication skills, with the ability to produce clear engineering design documents and collaborate effectively across teams.
BS, MS, or Ph.D. in Computer Science, Mechanical Engineering, Robotics, or related field.
Benefits
Paid time off (e.g. sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance
Job title
Software Systems Engineer – Simulation Verification, Validation
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