Deep Learning Software Engineer - C+, GPU

WHAT YOU DO AT AMD CHANGES EVERYTHINGWe 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.THE ROLE:AMD is looking for a specialized software engineer who is passionate about 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.THE PERSON: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.KEY RESPONSIBILITIES:Develop and optimize key Deep Learning models on AMD GPUs.Optimize deep learning frameworks like TensorFlow, PyTorch, 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 deep learning.Work with open-source framework maintainers to understand their requirements - and have your code changes integrated upstream.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.PREFERRED EXPERIENCE:Strong object-oriented programming background, C/C++/Python preferred.Exposure to AI frameworks like PyTorch, TensorFlow, vLLM, etc.Deep Learning experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems.Excellent software design skills, including debugging, performance analysis, and test design.Experience running workloads on large scale heterogeneous clusters is a plus.Knowledge of GPU computing (HIP, CUDA, OpenCL).Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus.Effective communication and problem-solving skills.ACADEMIC CREDENTIALS:Bachelor's, Master's degree, or PhD or equivalent experience in Computer Science, Computer Engineering, or related field.

#J-18808-Ljbffr