AI Research TPM Intern (PhD) – Hybrid Summer 2027

AMD; Santa Clara (CA); Hybrid; USD 20,000 - 33,000; Full time

Job summary

AMD invites PhD candidates to join its AI Research team as a Summer 2027 Internship Program Manager (intern/co-op) in Santa Clara, CA. The role is full-time, hybrid or onsite, spanning May–Aug 2027, with responsibilities across research roadmaps, datasets, and experiment coordination.

You will collaborate with researchers and engineers, track milestones, and prepare concise updates for leadership. A strong ML foundation and project coordination experience are required.

Qualifications

• Pursuing a PhD in a technical or related field.
• Foundational understanding of machine learning, reinforcement learning, generative AI, or ML systems.
• Experience coordinating technical projects through coursework, research, internships, or extracurricular activities.
• Ability to manage ambiguous work and collaborate with researchers and engineers.
• Experience with AI research or software engineering projects is a plus.

Responsibilities

• Support research roadmaps, milestones, experiment schedules, and dependency tracking.
• Coordinate datasets, evaluation systems, compute requirements, and deliverables across teams.
• Organize experiment reviews, decision records, and follow-up actions.
• Track benchmark performance, reproducibility, stability, risks, and blockers.
• Support GPU capacity planning and experiment prioritization.
• Prepare concise program updates for technical and leadership audiences.
• Document requirements and evaluation criteria for research-to-engineering handoffs.

Skills

Project coordination

AI research

Team collaboration

Ambiguity management

Education

Pursuing PhD in a technical field

Job description

AMD invites PhD candidates to join its AI Research team as a Summer 2027 Internship Program Manager (intern/co-op) in Santa Clara, CA. The role is full-time, hybrid or onsite, spanning May–Aug 2027, with responsibilities across research roadmaps, datasets, and experiment coordination.

You will collaborate with researchers and engineers, track milestones, and prepare concise updates for leadership. A strong ML foundation and project coordination experience are required.