Senior AI Systems Performance Engineer
Core
Define and drive AMD's AI workload performance characterization strategy across next-generation embedded and client platforms, leading benchmarking methodologies and analyzing performance bottlenecks.
Role type
Senior IC AI systems performance engineer
Builds
Benchmarking infrastructure, automated performance dashboards, and workload analysis methodologies
Domain
Semiconductor hardware (APUs, GPUs, CPUs, NPUs) and AI software systems
Deliverable
production ML models
Required skills
AI workload optimization, performance engineering, root-cause analysis, profiling and tracing, power/efficiency tradeoff analysis, Linux systems debugging, heterogeneous computing architecture, Python/Shell scripting
Preferred skills
LLM/VLM/multimodal workload optimization, PyTorch/ONNX Runtime/vLLM/TensorFlow/ROCm, BIOS configuration and platform tuning, customer-facing technical engagement
Technologies
PyTorch, ONNX Runtime, vLLM, TensorFlow, ROCm, Ryzen AI, Linux, Python, Shell
Responsibilities
Lead AI workload benchmarking and performance characterization; Design and maintain scalable benchmarking infrastructure and dashboards; Drive deep root-cause analysis of bottlenecks across software, firmware, OS, silicon, and memory layers; Utilize advanced profiling and tracing tools to characterize AI workload behavior; Analyze power, performance, throughput, latency, and efficiency tradeoffs; Collaborate with architecture, firmware, software, and product teams to influence optimization strategies; Provide actionable performance insights to engineering leadership and business teams; Mentor junior engineers and establish best practices
Seniority
Senior, hands-on IC
