Senior Software Systems Engineer - Simulation Evaluation & Validation

• 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.

• 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
• 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)

We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn 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.