Lead AI Power & Performance Engineer
Core
Lead evaluation, benchmarking, profiling, and optimization of AI inference workloads across CPU, GPU, APU, NPU, and heterogeneous computing platforms.
Role type
Senior IC AI Power & Performance Engineer
Builds
AI inference performance data, technical recommendations, and optimization strategies for AMD hardware platforms
Domain
Semiconductor / AI Systems / Heterogeneous Computing
Deliverable
production ML models
Required skills
AI workload benchmarking, system-level optimization, Linux performance profiling, AI framework expertise (PyTorch, ONNX, TensorFlow), hardware architecture knowledge, Python/Bash automation, root-cause analysis, quantization and mixed-precision inference
Preferred skills
ROCm, MLPerf Inference, large language model inference optimization, containerized AI environments, post-silicon testing
Technologies
PyTorch, ONNX Runtime, vLLM, llama.cpp, TensorFlow, Linux, ROCm, Nsight Systems, VTune, Docker
Responsibilities
Define AI performance benchmarking strategy, benchmark AI inference workloads, analyze performance metrics (latency, throughput, power), profile workloads to identify bottlenecks, lead root-cause analysis, conduct competitive benchmarking, collaborate with cross-functional teams, develop automation for benchmark execution, present technical findings to stakeholders
Seniority
Senior, hands-on IC with technical leadership
