Job Summary
A company is looking for a Software Engineer, ML Performance.
Key Responsibilities
- Own the full lifecycle of ML model deployment on robots from handoff by the ML team to full system integration
- Convert, optimize, and integrate trained models for Jetson platforms using NVIDIA tools
- Develop and optimize CUDA kernels and pipelines for low-latency, high-throughput model inference
Required Qualifications
- Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or equivalent field
- 3+ years experience in deploying ML models on embedded or edge platforms
- 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
Comments