Senior Manager, AI Power & Performance Engineering

AMD
Austin
Workplace: HybridFull timeFunction: Energy & Utilities OperationsEducation: mastersSkills: ["Communication","Leadership","Organizational skills","Mentoring","Accountability"]

Lead a global engineering team focused on AI power and performance across AMD Embedded and Edge AI platforms. Own AI performance strategy, benchmarking methods, power efficiency analysis, and workload characterization, then drive optimization across models, runtimes, kernels, frameworks, and system software stacks. Partner with architecture, software, silicon, product, marketing, and customer teams to deliver customer-ready performance data, scalable automation/telemetry infrastructure, and roadmap influence for AI workloads across robotics, physical AI, automotive, industrial, and edge computing.

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FursaFursa
AMD
AMD
1 month ago

Senior Manager, AI Power & Performance Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead a global engineering team focused on AI power and performance across AMD Embedded and Edge AI platforms. Own AI performance strategy, benchmarking methods, power efficiency analysis, and workload characterization, then drive optimization across models, runtimes, kernels, frameworks, and system software stacks. Partner with architecture, software, silicon, product, marketing, and customer teams to deliver customer-ready performance data, scalable automation/telemetry infrastructure, and roadmap influence for AI workloads across robotics, physical AI, automotive, industrial, and edge computing.
Location: Austin
Workplace: Hybrid
Employment Type: Full time
Job Function: Energy & Utilities Operations
Seniority: Sr. Manager level

Key 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.
  • •Lead product and solution enablement by delivering customer-ready performance collateral, benchmarking reports, and tuning recommendations.
  • •Build and mentor a global engineering organization; develop automation and infrastructure for benchmarking, telemetry, profiling, analytics, and performance regression tracking.

Key Requirements

  • •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.
Experience:Edge AIEmbedded platformsAI workloads
Education:Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field
Skills:CommunicationLeadershipOrganizational skillsMentoringAccountability
Languages:English
Tech Stack:AI/MLInference runtimesROCmRyzen AIONNX RuntimeMIGraphXKernelsSDKsCI/CDTelemetryProfilingAnalyticsDashboardsBenchmarking

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
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