What are the responsibilities and job description for the Summer/Fall 2026 PhD Machine Learning Research & Distributed Systems Intern/ Co-op position at Advanced Micro Devices, Inc?
WHAT YOU DO AT AMD CHANGES EVERYTHING
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.
JOB DETAILS:
- Location: Santa Clara, CA
- Onsite/Hybrid: : This role requires the student to work full time (40 hours a week), in a hybrid or onsite work structure throughout the duration of the co-op/intern term.
- Duration: : May 2026 - August 2026, or December 2026(4 or 8 months)
WHAT YOU WILL BE DOING:
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.
WHO WE ARE LOOKING FOR:
- 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.
- 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
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.