We are a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Senior Perception ML Data Infrastructure Engineer, you will own the critical bridge between our autonomous vehicle hardware, our human labeling operations, and our ML models. You will take ownership of our core native perception data platform. This is not a standard web development role; the stack is deeply adjacent to our core robotics infrastructure. You will be dealing with massive, dense 3D point clouds at a scale that pushes the boundaries of industry state-of-the-art, alongside complex sensor parsing, pipeline propagation, and rigid performance constraints. You will operate in highly ambiguous environments, inheriting complex systems, establishing strict API boundaries, and building the "good enough, fast enough" infrastructure that guarantees our ML models learn from high-quality data.

Render and manipulate massive, multi-modal sensor datasets (Lidar, Camera, Radar) efficiently in UI environments.

Parse raw sensor data and manage complex data pipeline propagation between onboard hardware logs and offboard visualization.

Enforce strict data validation and annotation constraints to prevent upstream labeling errors from polluting downstream ML pipelines.

Create seamless, resilient API boundaries between our ML data pipelines and our Ground Truth/Data Platform infrastructure.