硬件加速推理AI Infra工程师（Data） - 芯片研发
Core
Adapt large model business models to self-developed chips, perform hardware-software co-optimization, and build distributed inference systems to maximize hardware utilization and throughput.
Role type
Senior IC hardware acceleration inference AI infrastructure engineer
Builds
Distributed inference systems, optimized inference frameworks, and custom hardware solutions for large models
Domain
Semiconductor hardware design and AI infrastructure
Deliverable
production ML models
Required skills
AI accelerator architecture and parallel computing, C/C++ and Python, ONNX/TensorFlow/PyTorch, model quantization and sparsity, distributed system design
Preferred skills
Compiler and code optimization (MLIR/TVM), GPU/AI chip architecture and operator optimization, LLM/multimodal model expertise, AI quantization tool development, AI server and cluster interconnect, vLLM/SGLang framework development
