Senior AI Performance Engineer: Benchmarking & Optimization
AMD
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Job summary
AMD is seeking a Senior AI Systems Performance Engineer in Austin to define and drive AI workload performance characterization across embedded and client platforms. You will lead benchmarking methodologies, analyze bottlenecks, and deliver recommendations that influence silicon utilization and software optimization.
You will work across engineering organizations as an expert in AI performance, platform optimization, and workload characterization, mentoring engineers and shaping best practices
Qualifications
- Must have deep understanding of AI inference workloads and performance optimization techniques.
- Strong hands-on experience with AI frameworks (PyTorch, ONNX Runtime, vLLM, TensorFlow, ROCm, Ryzen AI).
- Experience optimizing AI workloads across hardware and software boundaries.
Responsibilities
- Lead AI workload benchmarking across AMD AI-enabled platforms.
- Design scalable benchmarking infrastructure and automated performance dashboards.
- Drive root-cause analysis of performance bottlenecks across software, firmware, OS, silicon, memory, and platform layers.
- Utilize profiling and tracing tools to characterize AI workload behavior and identify optimizations.
- Collaborate with architecture, firmware, software, platform, and product teams to influence optimization strategies.
Skills
Education
Tools
Job description
AMD is seeking a Senior AI Systems Performance Engineer in Austin to define and drive AI workload performance characterization across embedded and client platforms. You will lead benchmarking methodologies, analyze bottlenecks, and deliver recommendations that influence silicon utilization and software optimization.
You will work across engineering organizations as an expert in AI performance, platform optimization, and workload characterization, mentoring engineers and shaping best practices
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