Advanced Micro Devices, Inc

Fellow Software Development Engineer, GEMM Optimization

Advanced Micro Devices, Inc$150K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in GPU microarchitecture and low-level code generation
  • Extensive knowledge of GEMM algorithms and GPU hardware mapping
  • Strong software engineering skills with experience in production-quality software
  • Experience in optimizing GPU compute kernels, particularly GEMM and attention
  • Proficient in C++ and assembly-level GPU programming
  • Familiarity with parallel computing and memory hierarchies
  • Effective communication skills for cross-functional collaboration

Responsibilities

  • Analyze AMD GPU specifications to align design with silicon capabilities
  • Develop support for new optimization features in code-generator
  • Innovate algorithms for GEMM and GEMM + X implementations
  • Profile and diagnose performance bottlenecks in GEMM across the stack
  • Work with customers to understand workload requirements and improve performance

Benefits

  • Comprehensive AMD benefits at a glance
Full Job Description
THE ROLE:

AMD is seeking a Fellow Software Development Engineer to architect and develop features in the tensile-lite assembly code generator for General Matrix Multiplication (GEMM) and GEMM + X (including attention). GEMM performance is one of the most critical levers for AI workload efficiency and this role sits at the center of AMD's effort to deliver best-in-class matrix-multiply performance across current and next-generation hardware.

You will own the deep, hardware-aware optimization work that turns AMD's GPU architecture into delivered performance: understanding the hardware specification at the instruction and pipeline level, partnering directly with hardware architects to influence future designs, and innovating algorithms to extract maximum throughput.

THE PERSON:

This role is a strong fit for an engineer who wants to work at the intersection of GPU microarchitecture, low-level code generation, and applied AI performance - someone equally comfortable reading a hardware spec, writing hand-tuned assembly, and explaining a performance tradeoff to a customer or an architect.

KEY RESPONSIBILITIES
  • Analyze AMD GPU hardware specifications in depth and work closely with hardware architects to align kernel design with current silicon capabilities and to influence requirements for future generations.
  • Develop support for new ISA and HW/SW optimization features in the code-generator
  • Innovate and implement new algorithms for implementing GEMM and GEMM + X
  • Profile and root-cause GEMM performance bottlenecks across the stack
  • Partner with customers and internal stakeholders to understand real-world workload requirements, reproduce performance issues, and deliver targeted performance

PREFERRED EXPERIENCE:
  • Strong command of GPU computer architecture: compute units, register files, cache/LDS hierarchies, memory bandwidth, matrix cores/WMMA-style instructions, and instruction scheduling/latency hiding.
  • Deep expertise in GEMM algorithms and their mapping onto GPU hardware (tiling, blocking, register/LDS allocation, wave scheduling, memory hierarchy utilization).
  • Strong software engineering fundamentals with a track record of building production-quality, high-performance software.
  • Demonstrated experience optimizing GPU compute kernels, ideally GEMM and attention
  • Proficiency in C++ and assembly-level GPU programming; working knowledge of Python for tooling/automation.
  • Solid understanding of parallel computing, memory hierarchies, and hardware-software performance tradeoffs.
  • Clear written and verbal communication skills; ability to work effectively with hardware architects, customers, and cross-functional engineering teams.
  • Direct experience with any GPU compiler backend
  • Experience with AMD GPU architectures (CDNA/RDNA) or comparable competitive architectures (NVIDIA Hopper/Blackwell, etc.)
  • Contributions to industry standards, publications, or patents related to GPU compute or matrix-multiply optimization

PREFERRED ACADEMIC CREDENTIALS:

BS/MS/PHD in CS/CE or related field with deep relevant experience

LOCATION: San Jose, CA

Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ

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