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AMD

Designs chips for computers and AI systems

Senior Manager - AI Power & Performance Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

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-performance activities, including pre-silicon and post-silicon correlation.
  • Strong understanding of AI and machine learning frameworks, inference runtimes, and performance optimization techniques.
  • Experience with heterogeneous computing architectures involving CPUs, GPUs, NPUs, and accelerators.
  • A Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

Responsibilities

  • Define and execute AI power and performance strategy across AMD CPU, GPU, NPU, and heterogeneous computing platforms.
  • Establish benchmarking methodologies, performance key performance indicators, 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, software development kits, 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 focus.
  • 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 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 continuous integration and continuous delivery integration and automated performance qualification systems.

Desired Qualifications

  • Experience with AMD AI technologies including ROCm, Ryzen AI, ONNX Runtime, MIGraphX, or other AI software stacks.
  • Experience in Robotics, Physical AI, Automotive, Industrial, or Edge AI markets.
  • Familiarity with generative AI, multimodal AI, computer vision, and robotics workloads.
  • Knowledge of AI benchmarking, profiling tools, performance analysis, and power optimization techniques.
  • Experience working with geographically distributed engineering organizations.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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