AI Engineer
amd
Job Description
- Optimize diverse models: generative (LLMs, diffusion), vision (classification, detection, segmentation), multi-modal, and speech
- Port models across frameworks (e.g., PyTorch → ONNX → runtimes)
- Deploy on hardware accelerators (GPU/NPU) and optimize performance
- Improve inference latency, throughput, and memory (batching, caching, parallelism, fusion)
- Apply quantization and model compression (FP32 → lower precision)
- Profile and debug system and model performance