PhD Technical Program Manager, AI Research Intern

Amd

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Santa Clara, CA
Salary
$91,520–$137,280 / yr
Employment
Intern
Posted
10 days ago
Freshness
Confirmed live today
Closes
Sep 21, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $114k
$74k most similar roles pay here $253k

This role pays less than 73% of similar roles. Most pay $114,400–$235,750 — the shaded band above. At the midpoint, this role pays about $114k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 474 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 474 roles with salary data.

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At a glance

TL;DR · PhD Technical Program Manager, AI Research Intern

The Summer 2027 PhD Technical Program Manager, AI Research Intern will join the team to support research roadmaps, milestones, and experiment schedules while tracking dependencies. This role involves coordinating datasets, evaluation systems, compute requirements, and deliverables across various teams. The intern will organize experiment reviews, decision records, and follow-up actions while tracking benchmark performance, reproducibility, stability, risks, and blockers. Additionally, the position involves GPU capacity planning, experiment prioritization, and preparing program updates for technical and leadership audiences to document research-to-engineering handoffs. Candidates must have a foundational understanding of machine learning, reinforcement learning, generative AI, or ML systems. Preferred experience includes LLM post-training, RLHF, preference optimization, reward modeling, or AI agents. The role focuses on the technical management of AI research projects and complex software engineering workflows within the AI ecosystem.

What you'll do

  • 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.

What we're looking for

  • Currently 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, machine-learning, or software-engineering projects (preferred).
  • Familiarity with LLM post-training, RLHF, preference optimization, reward modeling, or AI agents (preferred).

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