You develop and improve perception models for autonomous mobile robots, including object detection, obstacle classification, and free-space estimation
You drive data-centric machine learning by scaling automated labeling, leveraging fleet data, and closing the sim2real gap through synthetic data and simulation-based evaluation
You own model performance by defining benchmarks, tracking key metrics, and continuously improving real-world and benchmark results
You deploy and validate perception models within our ROS-based robot software stack, ensuring reliable performance on real vehicles
You collaborate closely with navigation, controls, and fleet software teams to deliver robust perception capabilities that enable autonomous operation
Your profile
You bring 2–5 years of professional and hands-on experience in robotics percep...