- The JD combines skills across multiple AI/ML domains including model development, optimization, and embedded deployment.
- Candidates need not possess expertise in every listed technology.
- Strong experience in either Python or C is acceptable, with Python being the primary preference for the current team.
- Experience across model engineering, optimization, or embedded AI can be considered depending on candidate specialization.
Technical Expectations
- Solid fundamentals in AI/ML are more important than expertise in a specific framework.
- PyTorch experience is highly valued; ONNX experience is beneficial but can be learned quickly.
- TensorFlow or other AI/ML framework experience is also acceptable if candidates demonstrate hands-on deployment experience.
- GPU programming knowledge (CUDA/ROCm) is preferred. Candidates should understand GPU programming concepts and optimization techniques, though deep expertise is not mandatory.
- Currently has three open positions.