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Senior Manager, AI Power & Performance Engineering

AMD· Engineering
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Austin, TX$184kFull-timePosted 2mo ago

About the role

Lead a global team responsible for AI power, performance, benchmarking, and optimization across AMD's Embedded and Edge AI platforms, partnering with architecture, software, silicon, product management, marketing, and customer-facing groups to drive competitive AI workloads across Robotics, Physical AI, Automotive, Industrial, and Edge Computing.

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.
  • Lead performance readiness for AI solutions across Robotics, Physical AI, Automotive, Industrial, and Edge AI markets.
  • Develop customer-ready performance collateral, benchmarking reports, tuning recommendations, and competitive positioning data.
  • Partner with software engineering teams to validate AI models, inference pipelines, SDKs, frameworks, and application workloads.
  • Ensure performance scalability, efficiency, reliability, and production readiness across deployed solutions.
  • Build, lead, mentor, and grow a high-performing global engineering organization consisting of AI performance, benchmarking, and automation engineers.
  • Establish clear goals, execution plans, staffing strategies, and career development programs.
  • Foster a culture of innovation, accountability, technical excellence, and customer obsession.
  • Support strategic customer engagements, design-win efforts, technical escalations, and performance-related discussions.
  • Collaborate with Product Management, Architecture, Software Engineering, Marketing, and Field Engineering teams to define and execute winning AI platform strategies.
  • Represent AMD performance leadership in executive reviews, customer meetings, and industry engagements.
  • Drive development of scalable benchmarking, automation, telemetry, profiling, and analytics infrastructure.
  • Establish continuous performance validation frameworks and dashboards for workload tracking and regression analysis.
  • Improve engineering efficiency through CI/CD integration and automated performance qualification systems.

Qualifications

  • Proven experience in software engineering, system performance, Edge physical AI, embedded platforms, or related domains.
  • Proven 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.

Skills

Required:AI power and performance strategyBenchmarking methodologiesPerformance optimizationLeadership

Benefits

  • Benefits offered are described: AMD benefits at a glance.
Last updated Oct 15, 2026. Interested? Apply on the company site.
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AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

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