Manager - AI ML Software Dev. Triton Compiler

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THE ROLE:

This Manager - AI ML Triton Compiler role offers the unique opportunity to shape the future of AI and machine learning by optimizing deep learning frameworks and GPU performance for AMD's cutting-edge hardware. As the Manager of Triton Compiler, you'll be at the forefront of enhancing GPU kernels for some of the most important workloads while driving innovation in high-performance computing environments. Join a dynamic team where your work will directly impact the performance and scalability of AI models on some of the most powerful GPUs in the industry.

THE PERSON:

We are looking for a visionary leader with deep technical expertise in GPU kernel development, compiler development, enhancement and optimization, and AI/ML frameworks. The ideal candidate is a hands-on problem solver, with a proven track record of managing high-performance software teams and delivering groundbreaking solutions that push the boundaries of deep learning technology.

KEY RESPONSIBILITIES:

• Develop and Optimize Triton Compiler: In-depth experience in enhancing and optimizing compiler infrastructure including Triton, MLIR, LLVM and related AMD tooling and libraries.

• 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: Experience in collaborating closely with internal teams to analyze and improve training and inference performance on AMD GPUs.

• Collaborate with Open-Source Maintainers: Strong experience with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.

• Work in Distributed Computing Environments: Expert in optimizing deep learning performance on both scale-up (multi-GPU) and scale-out (multi-node) systems.

• Utilize Cutting-Edge Compiler Tech: Understand how to effectively leverage advanced compiler technologies to improve deep learning performance.

• Optimize Deep Learning Pipeline: Expert at enhancing the full pipeline, including integrating graph compilers.

• Software Engineering Best Practices: Knowledgeable about sound engineering principles to ensure robust, maintainable solutions and able to guide the application strategically and effectively.

• Lead and Manage Software Development Teams: Experienced in leading and managing a team of software developers, focusing on compiler optimization for deep learning workloads. Able to foster a collaborative and innovative environment, ensuring the successful execution of complex software projects.

PREFERRED EXPERIENCE:

• GPU Kernel Development & Optimization: Strong technical 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: Expert level experience in integrating optimized GPU performance into machine learning frameworks such as TensorFlow and PyTorch, with a focus on accelerating model training and inference while maximizing scaling and throughput.

• Software Engineering: Expert in Python and C , with deep experience in debugging, performance tuning, and test design to ensure high-quality, maintainable software solutions in AI and ML contexts.

• Compiler Optimization: Solid understanding of compiler theory, with hands-on experience using tools like LLVM and ROCm for kernel and system-level performance optimization. Ability to apply compiler techniques to deep learning workloads to enhance overall efficiency.

• Leadership & Team Management: Demonstrated experience in leading, mentoring, and growing teams of software developers, fostering a collaborative culture that encourages innovation and excellence. Strong skills in project management, resource allocation, and delivering results under tight deadlines.

• Professional Experience: Professional experience in technical software development, with a focus on GPU optimization, performance engineering, and/or framework development.

ACADEMIC CREDENTIALS:

• 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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