ML Performance Engineer

Serve Robotics is seeking a highly skilled ML Performance Engineer to join their robotics team, bridging the gap between machine learning research and real-world deployment. This role focuses on deploying advanced ML models to edge hardware like NVIDIA Jetson, optimizing performance, and ensuring robustness for real-time inference. The engineer will work closely with research, embedded systems, and robotics software teams.

Requirements

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, or equivalent field.
• 3+ years experience in deploying ML models on embedded or edge platforms (preferably robotics).
• 2+ years of experience with CUDA, TensorRT, and other NVIDIA acceleration tools.
• Proficient in Python and C++, especially for performance-sensitive systems.
• Experience with NVIDIA Jetson and edge inference tools.
• Familiarity with model conversion workflows (e.g., PyTorch → ONNX → TensorRT).
• Master’s degree in Computer Science, Robotics, Electrical Engineering, or equivalent field.