2026 Masters Artificial Intelligence Product Engineering Co-Op/Intern

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 ML/AI Co-op/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: Austin, TX; Boxborough, MA; Fort Collins, CO; Longmont, CO; Fishkill, NY; or Rochester, NY
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term
• Duration:
• Summer/Fall Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026
• Summer Internship: May 18, 2026 - August 7, 2026 or June 22, 2026 - September 11, 2026
• Fall Internship: September 14, 2026 - December 11, 2026
  

What You Will Be Doing

We are seeking a highly motivated Artificial Intelligence Product Engineering/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role -

• Evaluating end-to-end flow AI software framework targeting AMD hardware
• Help in generating performance data and/or framework usability analysis
• Creating end-user methodology for the AI ecosystem such as Profiling, Visualization, and debug tools
• Enabling Productization of AI Compiler, Optimizer, Quantizer, and Runtime software
  
  
  

Who We Are Looking For

• You are currently enrolled in a US based University in a Master's program in Computer Science, Computer Engineering, or a related field.
• If you have knowledge/experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply -
• Work experience with state-of-the-art models, in one or more domains: CNN, Transformers, LLMs, Generative AIs
• Experience with PyTorch, Python, C , ONNX
• Familiar with some popular development tools, e.g. git, cmake, make, conda or docker
• Experience in AI frameworks such as compiler, runtime, and quantizer is an advantage
• Experience on GPU programming is an advantage
  

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of our intern opportunities, a recruiter will contact you.

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.