Memory Systems Performance Architect at Advanced Micro Devices Inc
Santa Clara, CA 95054, USA -
Full Time


Start Date

Immediate

Expiry Date

15 Oct, 25

Salary

0.0

Posted On

16 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, C++, Architecture

Industry

Information Technology/IT

Description

PREFERRED SKILLS:

  • Experience with CPU, GPU, or computer system microarchitecture
  • Experience with SoC interconnect modeling and architecture, DRAM controller, and other IP blocks.
  • Experience with the development and usage of computer system performance models
  • Experience with computer workload analysis
  • Strong programming skills, including experience with C++ and Python (or similar).
Responsibilities

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
Responsibilities:

THE ROLE:

AMD is hiring experienced performance architects to analyze, architect and optimize high-performance memory subsystem designs for Cloud computing, machine intelligence acceleration, and immersive mobile processing. Candidates excited to tackle the most complex and exciting challenges in the computing industry are encouraged to apply.

PRIMARY RESPONSIBILITIES:

  • Serve as a Performance Architect in AMD’s electronics design engineering team to work on Data center and Machine Learning SoCs/accelerators.
  • Participate in Architecture/microarchitecture exploration, performance modeling, and analysis for next-generation memory technologies, scalable interconnects, tiered memory, high performance AI accelerator and quality-of-service.
  • Intimately understand design architecture and propose solutions to enhance performance.
  • Responsible for performance analysis, micro-benchmarking, workload characterization, competitive analysis, bottleneck identification, and optimization.
  • Develop tools and methodology for performance analysis of workloads.
  • Communicate, propose, and implement solutions to processor and system performance issues.
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