Sr. Software Development Deep Learning Full-time

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_

THE ROLE:

AI Software development engineer on teams building and optimizing Deep Learning applications and AI frameworks for AMD GPU compute platforms. Work as part of an AMD development team and open-source community to analyze, develop, test and deploy improvements to make AMD the best platform for machine learning applications.

THE PERSON:

Strong technical and analytical skills in C++ development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort.

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.

PREFERRED EXPERIENCE:

• GPU Kernel Development & Optimization: Experience 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: Experience in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch) to accelerate model training and inference, with a focus on scaling and throughput.
• Software Engineering: Experience skills in Python and C++, with experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions.
• High-Performance Computing: Experience in running large-scale workloads on heterogeneous compute clusters, optimizing for efficiency and scalability.
• Compiler Optimization: Understanding of compiler theory and tools like LLVM and ROCm for kernel and system performance optimization.

ACADEMIC CREDENTIALS:

• Bachelors and/or Master’s 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.

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