AI Systems Performance Engineer
Core
Evaluate and optimize the performance, power, and efficiency of next-generation AI workloads on AMD embedded and client platforms.
Role type
AI Systems Performance Engineer
Builds
Data-driven insights for product development and competitive positioning
Domain
Semiconductor / AI Hardware Systems
Deliverable
dashboards & analysis
Required skills
AI inference benchmarking, Linux systems administration, performance profiling, system-level bottleneck analysis, Python scripting, automated environment setup
Preferred skills
Knowledge of LLMs/VLMs/CNNs, experience with PyTorch/ONNX/TensorFlow, familiarity with AMD/x86/ARM platforms, power optimization methodologies
Technologies
PyTorch, ONNX Runtime, TensorFlow, vLLM, llama.cpp, Linux, Python, Shell
Responsibilities
Benchmark and characterize AI inference workloads, execute performance and efficiency analysis, develop automated benchmarking environments, collect and interpret system-level performance traces, investigate workload bottlenecks, support performance analysis activities with cross-functional teams, generate data-driven reports
Seniority
Mid-level, hands-on IC
