Performance Architect - Embedded x86 Systems

Advanced Micro Devices, Inc.

Austin (TX)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

AMD benefits at a glance
Health insurance

Job summary

Advanced Micro Devices, Inc. (AMD) seeks a Performance Architect in Embedded Processor Architecture, Engineering & Solutions to lead performance analysis of workloads on AMD x86 processors.

You will engage with customers and internal teams, driving plans, timelines and technical directions. The role requires strong communication, travel as needed, and a passion for optimizing complex systems across AI, data centers, and embedded markets.

Qualifications

  • Strong expertise in processor micro-architecture definition and performance modeling.
  • Hands-on experience in computer/GPU architecture, cache hierarchies, interconnects and accelerators.
  • Experience with Linux performance tools (Perf, uProf, Vtune).
  • Proficiency in C and scripting (Shell, Python).
  • Knowledge of TCP/IP and networking protocols is beneficial.

Responsibilities

  • Develop in-depth knowledge of AMD x86 architecture and performance tools.
  • Set up and analyze target workloads across networking, security, storage, edge, and embedded segments.
  • Characterize workload performance and develop optimized recipes to differentiate AMD solutions.
  • Collaborate with customers, partners and internal teams as a technical expert.

Skills

Processor micro-architecture
Performance modeling
Linux performance tools
C programming
Python scripting
Networking TCP/IP

Education

Bachelor's or Master's in Electrical/Computer Engineering

Tools

Perf
AMD uProf
Vtune

Job description

Advanced Micro Devices, Inc. (AMD) seeks a Performance Architect in Embedded Processor Architecture, Engineering & Solutions to lead performance analysis of workloads on AMD x86 processors.

You will engage with customers and internal teams, driving plans, timelines and technical directions. The role requires strong communication, travel as needed, and a passion for optimizing complex systems across AI, data centers, and embedded markets.

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