Fellow Software Development Eng

Advanced Micro Devices, Inc

15d•Hybrid

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. You will play a pivotal role in GPU architecture feature design, usage, API design, optimization, and deployment, driving end to end feature development. In this role you will be collaborating with teams involved in all aspects of the machine learning, math libraries and GPU architecture in the pre-silicon and post-silicon development. We are looking for a talented and motivated GPU software architect with broad and deep experience in compute and machine learning software development on GPU to deliver out of the box high performance ROCm core software to our customers. A great candidate will be a strong collaborator who is open to continuously learning and is excited about innovative solutions for ML and HPC on GPUs.

Requirements

Excellent GPU architecture knowledge, performance analysis, algorithm development, and machine learning experience
Hands on professional experience designing algorithms and writing and optimizing GPU code in HIP, CUDA, or OpenCL/Vulkan/Direct3D
Understand GPU runtime, compiler, machine learning and HPC library development and performance optimization
Experience with best practices in software development, including testing, profiling, debugging, documentation, version control, and issue tracking
Bachelor’s or Master's or PhD degree in Computer Science, Computer Engineering, or equivalent plus deep relevant experience

Responsibilities

Engage in GPU architecture design and investigate the usages of GPU architecture features
Design and develop GPU kernels to demonstrate how architecture features can be exposed via APIs such as HIP and can achieve expected performance and quality improvement for ML and HPC usages
Document and present feature programming techniques and support feature deployment in ROCms software.
Analyze and optimize the performance of GPU kernels, providing insight on optimization paths
Communicate and collaborate with key technical experts across AMD and with our partners and customers to improve ROCm applications, libraries, and tools, as well as hardware