2027 PhD AI Model Optimization & Software Engineer Intern/Co-op

Company: AMD

Location: San Jose, CA

Salary: $91.5k - $137.3k per year

Type: Full-time

Posted: 2026-09-16

About this role

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.


Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.


As an AMD intern and co-op, 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: San Jose, CA or Santa Clara,CA
  • 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:
  • Spring/Summer Co-op: January 25, 2027 - August 13, 2027
  • Summer Internship:
  • Semester Students: May 24, 2027 - August 13, 2027
  • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co-op:
  • Semester Students: May 24, 2027 - December 10, 2027
  • Quarter Students: June 21, 2027 - December 10, 2027

What You Will Be Doing
We are seeking highly motivated AI Model Optimization & Software Engineer Interns/Co-op to join our teams. We are recruiting for multiple opportunities across AI model optimization, framework engineering, performance analysis, GPU computing, distributed systems, and AI software infrastructure.


Depending on your background, interests, and the needs of the team, you may:

  • Develop, benchmark, and ...

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