AI summary
The role involves developing machine learning models for processing sensor data and enhancing 3D simulations for autonomous vehicle AI. You will work on projects related to lidar, radar, and camera data to improve the realism of simulated sensors.
Job Description
The Zoox 3D Sensor Simulation team’s work is at the core of creating in-the-loop simulation and high fidelity synthetic data for training and testing autonomous vehicle AI. We are looking for a machine learning professional with experience applying ML to sensor data, such as LiDAR, radar, and cameras.
This role lies at the intersection of machine learning and 3D simulation at Zoox, ranging from learned sensor models to neural 3D reconstruction. By improving the realism of simulated sensors (lidar, radar, and cameras), you’ll enable the Zoox robotics autonomy stack to learn, improve, and enhance the mobility of humans.
Responsibilities
In this role, you will:
Requirements
Qualifications:
- 2+ years of prior experience as a Technical Lead
- 5+ years of experience developing ML models in Python with PyTorch or TensorFlow
- Industry experience applying ML to sensor data (lidar, radar, and/or cameras)
- Solid understanding of customizing, tuning, and validating ML training pipelines
Bonus Qualifications:
About the job
- Posted on
- Oct 13, 2026
- Job type
- Full-time
- Location
- Foster City, CAHybrid
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