Summer/Fall 2026 PhD Software Engineering Co-op

Advanced Micro Devices, Inc•San Jose, CA

9h•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. As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next. AMD is looking for a software engineering intern to join our Software Architecture team and contribute to forward-looking machine learning research. Under guidance of senior machine learning researchers, you will work on evaluating and prototyping cutting-edge solutions to implicit neural representations, and distributed training and inference techniques on next-gen AMD accelerators. You will be encouraged to explore emerging techniques and supported in implementing proof-of-concepts. As a member of the Software Architecture team, you will be part of a group whose mandate is to research, prototype, and architect solutions for GPU compute & graphics and, machine learning, and video/image processing & compression. Hence, you will get considerable support from experts in the various fields that are necessary to tackle interdisciplinary research topics surrounding distributed training and inference with deep neural networks.

Requirements

Prior software internship and/or machine learning research experience.
Candidate should be good in technical problem solving and have excellent programming skills, ideally with prior software internship and/or machine learning research experience.
Experience with Python, C/C++, and machine learning frameworks.
Excellent verbal and written communication skills.
Studying towards degree in Computer Engineering, Computer Science, or Electrical Engineering

Responsibilities

Study state-of-the-art techniques for distributed machine learning training and inference, and implicit neural representations of images or videos.
Evaluate software and hardware implementation aspects of these techniques and document findings.
Identify/propose a set of techniques that are appropriate for AMD’s diverse HW/SW ecosystem.
You will be encouraged to publish the non-confidential aspects of novel technique(s) in tier-1 conferences/journals.