AI GPU - System Software Engineer

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 PERSON You have strong technical and analytical skills in C/C++/Python AI development in Windows and Linux environment with some knowledge on GPU or NPU. You are a capable problem solver and also a technical leader to define goals and scope and drive development effort. You possess good communication skills and are enthusiastic about AI technologies and strongly motivated to enable our customers with the best feature-rich efficient solutions. THE ROLE: We are looking for an experienced Machine Learning Software Engineer who will be part of the AMD GPU Technology and Engineering Software Team developing our latest AI software technologies. You will engage with cross-functional teams to optimize various parts of the AI software stack and deliver AI solutions across AMD Radeon and Ryzen product families. KEY RESPONSIBILITIES: Develop and deliver innovative AI software solutions to AMD customers and users. Enable and optimize software stack for standard frameworks like ONNX and PyTorch, as well as new popular Open-Source AI software. Bring up new SOTA AI models, analyze and improve their performance. Participate and drive end-2-end AI software development from feature scoping, implementation, integration and verification, to customer enablement. PREFERRED EXPERIENCE: Strong cross-platform software development experience and deep programming skills in C/C++ and Python. Excellent problem-solving and effective communication skills. Development experience on CONV, GEMM, and/or non-linear operators; GPU acceleration experience is a plus. Experience with common AI frameworks and inference stacks. Solid knowledge of AI and ML concepts and techniques; understanding the performance implications on AI acceleration of different compute, memory, and communication configurations. Open-source software development experience is a plus. ACADEMIC CREDENTIALS: Bachelor’s, Master, or PhD in Computer Science, Electrical Engineering or relevant fields. #LI-TT1 #LI-HYBRID