Deep Learning Software Engineer - AI Models

About the position

AMD is looking for a software engineer who is passionate about expanding AI models on AMD GPUs, and improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.

Responsibilities

• Enable and optimize key AI models (LLM, Vision, MultiModal, etc.) on AMD GPUs
• Optimize AI frameworks like PyTorch, TensorFlow, etc. on AMD GPUs in upstream open-source repositories
• Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for AI
• Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream
• Optimize GPU kernels, understand and drive AI operator performance (GEMM, Attention, etc.) with specialized teams
• Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems
• Apply your knowledge of software engineering best practices

Requirements

• Strong technical and analytical skills in C++/Python AI 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

Nice-to-haves

• Knowledge of GPU computing (HIP, CUDA, OpenCL)
• AI model experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems
• Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design
• Experiences to run workloads on large scale heterogeneous cluster is a plus
• Experiences to optimize GPU kernels for performance is a plus

Benefits

• AMD benefits at a glance