Senior Manager, AI Power & Performance Engineering

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$184,000–$276,000 / yr
Posted
90 days ago
Freshness
Confirmed live today
Closes
Jul 29, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $230k
$155k $289k
below market most similar roles pay here above market

This role pays more than 59% of similar roles. Most pay $175,675–$250,000 — the blue band above. At the midpoint, this role pays about $230k versus about $213k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Senior Manager, AI Power & Performance Engineering

The Senior Manager, AI Power & Performance Engineering will lead a global engineering organization responsible for delivering industry-leading performance, power efficiency, benchmarking, and characterization across Embedded and Edge AI platforms. This leader will define strategies for CPU, GPU, NPU, and heterogeneous computing platforms while driving performance optimizations across AI models, runtimes, kernels, and software stacks. Key responsibilities include establishing benchmarking methodologies, developing customer-ready performance collateral, and building scalable automation, telemetry, and profiling infrastructure. The role requires expertise in software engineering, system performance, and Power PnP activities for both Pre-Silicon and Post-Silicon environments. Candidates should possess skills in AI/ML frameworks, inference runtimes, and heterogeneous architectures. The work focuses on solving performance and power challenges for Robotics, Physical AI, Automotive, Industrial, and Edge Computing markets.

What you'll do

  • Define and execute AI power and performance strategies across CPU, GPU, NPU, and heterogeneous computing platforms.
  • Establish benchmarking methodologies, performance KPIs, and competitive analysis frameworks for AI workloads.
  • Drive performance optimization across AI models, runtimes, kernels, frameworks, and system software stacks.
  • Lead performance readiness and develop customer-ready collateral for Robotics, Automotive, Industrial, and Edge AI markets.
  • Build and mentor a global engineering organization of AI performance, benchmarking, and automation engineers.
  • Develop scalable benchmarking, telemetry, profiling, and analytics infrastructure with CI/CD integration.
  • Support strategic customer engagements, design-win efforts, and technical escalations regarding performance.
  • Influence hardware, firmware, and software roadmap decisions through data-driven bottleneck analysis.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
  • 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.
  • Experience with AMD AI technologies including ROCm, Ryzen AI, ONNX Runtime, MIGraphX, or other AI software stacks (preferred).

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