AI Models GPU deployment software Engineer
About The Position
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. 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. 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.
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
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
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
