AMD GPU Performance Engineer

We're looking for an experienced GPU Performance Engineer to help make vLLM a high-performance inference engine across AMD GPUs .

You'll work on cutting-edge AI infrastructure, optimizing GPU kernels and inference performance using AMD's ROCm ecosystem.

Key Skills:

✅ AMD GPU optimization: ROCm, HIP, Triton, CK, AITER

✅ GPU kernel development and performance tuning

✅ LLM inference: vLLM, SGLang, or TensorRT-LLM

✅ Profiling, benchmarking, and performance optimization

✅ GPU architecture, memory optimization, and kernel execution

✅ Experience with attention, GEMM, KV cache, or fused kernels

Open-source contributions to vLLM, ROCm, Triton, or PyTorch are a plus.

This is an opportunity to solve challenging GPU performance problems and contribute to open-source AI infrastructure used across the ecosystem.