Edge AI & Perception Engineer

Robotics Embedded Compute Computer Vision


The Role
This role bridges the gap between ML research and real-world robotic systems. You'll take trained vision models and make them performant and production-ready on embedded hardware not by doing the research yourself, but by deeply understanding the path from a PyTorch checkpoint to optimized edge inference. You'll be responsible for the full perception pipeline: ingesting sensor data, executing models in real time, and feeding actionable results to downstream robotics software.

Day-to-Day Responsibilities

• Optimize pre-trained computer vision models for NVIDIA embedded platforms, primarily using TensorRT and supporting toolchains


• Own the perception stack from end to end depth camera ingestion, point cloud processing, and real-time o...