Advanced Micro Devices, Inc

Sr.. Software Development Engineer - GPU Kernel Development

Advanced Micro Devices, Inc$140K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in GPU development and optimization.
  • Expertise in C++ and Python programming.
  • Strong background in Linux environments for high-performance computing.
  • Experience with deep learning frameworks like TensorFlow and PyTorch.
  • Proficiency in GPU kernels and low-level programming for AI applications.

Responsibilities

  • Optimize deep learning frameworks for AMD GPUs.
  • Develop and enhance performance of GPU kernels for AI operations.
  • Design and optimize deep learning models for AMD GPU performance.
  • Collaborate with internal GPU teams to improve training and inference with AMD GPUs.
  • Engage with open-source maintainers for code integration and compliance.
  • Work on optimizing deep learning performance in distributed computing setups.
  • Apply cutting-edge compiler technologies to enhance performance.
  • Mentor and guide junior team members in best engineering practices.

Benefits

  • Comprehensive benefits package including health insurance.
  • Opportunities for professional development and career growth.
  • Flexible working environment and schedule.
  • Access to cutting-edge technologies and tools.
  • Work on impactful, large-scale AI projects.
Full Job Description
THE ROLE:

As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your expertise will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open-source maintainers to ensure seamless integration of optimizations, utilizing cutting-edge compiler technologies and advanced engineering principles to drive continuous improvement.

THE PERSON:

Seeking an Industry Leading Expert C++ developer with advanced technical and analytical skills in Linux environments. The ideal candidate will excel in providing technical leadership, guiding teams, and driving projects/initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high-performing team.

KEY RESPONSIBILITIES:
  • Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories.
  • Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations.
  • Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance.
  • Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs.
  • Collaborate with Open-Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.
  • Work in Distributed Computing Environments: Optimize deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems.
  • Utilize Cutting-Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance.
  • Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers.
  • Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions.
  • Lead, Guide & Mentor: Provide strategic direction and mentorship to junior team members, fostering growth and collaboration through code reviews, knowledge sharing, and technical guidance.


PREFERRED EXPERIENCE:
  • GPU Kernel Development & Optimization: Deep expertise in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low-level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance.
  • Deep Learning Integration: Proven ability and experience to integrate GPU-accelerated compute into ML frameworks (e.g., PyTorch, TensorFlow), with a focus on throughput, scalability, and efficient execution for training and inference workloads.
  • Software Engineering Excellence: Advanced proficiency in Python and C++ with deep experience in performance tuning, debugging, and robust test design, ensuring reliable, maintainable, high-performance codebases.
  • High-Performance Computing: Broad and indepth experience with large-scale, heterogeneous compute environments; adept at optimizing AI workloads for performance, efficiency, and resource utilization across clusters.
  • Compiler Optimization: Thorough and detailed understanding of compiler internals, LLVM, and ROCm, with the ability to drive system-level optimizations from source to machine code.


ACADEMIC CREDENTIALS:
  • Master's and/ PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.


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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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