Advanced Micro Devices-posted 4 months ago
Full-time • Senior
Austin, TX
5,001-10,000 employees
Computer and Electronic Product Manufacturing

At AMD, we care deeply about transforming lives with 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 systems. 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.

  • 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.
  • Industry Leading Expert C++ developer with advanced technical and analytical skills in Linux environments.
  • 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.
  • Advanced proficiency in Python and C++ with deep experience in performance tuning, debugging, and robust test design.
  • Broad and in-depth experience with large-scale, heterogeneous compute environments; adept at optimizing AI workloads for performance, efficiency, and resource utilization across clusters.
  • Thorough and detailed understanding of compiler internals, LLVM, and ROCm, with the ability to drive system-level optimizations from source to machine code.
  • Extensive senior-level experience in technical software development, specializing in GPU optimization, performance engineering, and framework development.
  • 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.
  • Experience leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance.
  • AMD benefits at a glance.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service