Senior Manager, AI Power & Performance Engineering

Amd

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$184,000–$276,000 / yr
Posted
44 days ago
Freshness
Confirmed live 2 days ago
Closes
Jul 29, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $209k
This role $230k
$155k most similar roles pay here $289k

This role pays more than 60% of similar roles. Most pay $170,000–$247,291 — the shaded band above. At the midpoint, this role pays about $230k versus about $209k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

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

Senior Manager, AI Power & Performance Engineering leads a global engineering team focused on delivering industry-leading performance, power efficiency, and optimization across Embedded and Edge AI platforms. The role involves defining strategies for CPU, GPU, NPU, and heterogeneous computing architectures while establishing benchmarking methodologies, performance KPIs, and competitive analysis frameworks. Day-to-day responsibilities include driving optimizations across AI models, runtimes, kernels, and system software stacks to solve challenges in Robotics, Physical AI, Automotive, Industrial, and Edge Computing. The candidate will build automated benchmarking infrastructure, develop customer-ready performance collateral, and manage technical programs involving pre-silicon and post-silicon power activities. Required expertise includes experience with AI/ML frameworks, inference runtimes, and hardware-software co-design. Preferred skills include familiarity with ROCm, Ryzen AI, ONNX Runtime, MIGraphX, and specialized workloads like generative AI, multimodal AI, and computer vision.

What you'll do

  • Define and execute the power and performance strategy 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 a global engineering organization of performance, benchmarking, and automation engineers.
  • Develop customer-ready performance collateral, including reports, tuning recommendations, and competitive positioning data.
  • Build scalable benchmarking, telemetry, profiling, and analytics infrastructure to improve engineering efficiency.
  • Support strategic customer engagements, design-win efforts, and technical escalations for AI solutions.

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, or embedded platforms.
  • Proven experience leading engineering teams and delivering complex technical programs.
  • Proven experience in Power and Power PnP activities across Pre-Silicon and Post-Silicon stages.
  • 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.

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