PREFERRED EXPERIENCE:

• Strong programming skills in C/C++, HIP, and CUDA
• Extensive experience with machine learning
• Experience with GPU ML runtimes and compilers
• Experience using version control software such as Git
• Strong understanding of GPU architecture
• Knowledge of Parallel-Computing, GPUs, and 3D graphics
• Familiarity with deep neural network machine learning technologies and modern machine learning programming frameworks

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_
Responsibilities:

THE ROLE:

We are looking for a GPU Machine Learning Performance Architect to join GPU architecture team developing Deep Learning GPU kernels for architecture exploration and performance verification

KEY RESPONSIBILITIES:

• The ideal candidate will be responsible for writing high performance GPU kernels for Machine Learning applications to run on AMD’s next generation GPU.
• They will be porting and optimizing algorithms for new GPU architecture, perform code reviews, authoring detailed documentation related to their work.
• They will play a key role in all phases of GPU architecture development including architecture feature analysis, performance projection, and performance analysis across different platforms.