AI Power & Performance Engineering Lead (Hybrid)

AMD

United States

Hybrid

USD 180,000 - 240,000

Full time

14 days+
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Job summary

AMD is seeking a Senior Manager for AI Power & Performance to lead a global team focused on delivering top-tier AI performance and power efficiency across embedded and edge platforms. You will partner with architecture, software, silicon, product, and marketing teams to shape strategic AI workloads in Robotics, Physical AI, Automotive, Industrial, and Edge AI markets.

The role requires leadership of benchmarking, data-driven optimization, and production-ready performance data, with emphasis on

Qualifications

  • Experience leading engineering teams and delivering complex technical programs.
  • Proven experience in Power and Power PnP activities Pre-Silicon and Post-Silicon & Correlation
  • Strong understanding of AI/ML frameworks, inference runtimes, and performance optimization techniques.
  • Experience with heterogeneous computing architectures involving CPUs, GPUs, NPUs, and accelerators.
  • Excellent communication, organizational, and leadership skills.

Responsibilities

  • Define and execute AI power and performance strategy across AMD CPU, GPU, NPU, and heterogeneous computing platforms.
  • Establish benchmarking methodologies, performance KPIs, competitive analysis frameworks, and workload characterization processes.
  • Drive performance optimization across AI models, runtimes, kernels, frameworks, and system software stacks.
  • Identify bottlenecks and influence hardware, firmware, runtime, and software roadmap decisions through data-driven analysis.

Skills

Software engineering
AI/ML performance
Edge/Embedded hardware
Leadership
Cross-functional collaboration

Education

Bachelor's or Master's in CS/CE/EE

Tools

ROCm
ONNX Runtime
MIGraphX

Job description

AMD is seeking a Senior Manager for AI Power & Performance to lead a global team focused on delivering top-tier AI performance and power efficiency across embedded and edge platforms. You will partner with architecture, software, silicon, product, and marketing teams to shape strategic AI workloads in Robotics, Physical AI, Automotive, Industrial, and Edge AI markets.

The role requires leadership of benchmarking, data-driven optimization, and production-ready performance data, with emphasis on

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