Santa Clara, United States Role overview
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, 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, USA
- 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 2027 Internship
- Semester Schools: May 24, 2027 – August 13, 2027
- Quarter Schools: June 21, 2027 – September 10, 2027
WHAT YOU WILL BE DOING:
We are seeking highly motivated AI Research Technical Program Manager intern/co-op to join our team. In this role –
- 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.
WHO WE ARE 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 is a plus.
- Familiarity with LLM post-training, RLHF, preference optimization, reward modeling, or AI agents is a plus.
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.
Qualifications
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.
Responsibilities
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, USA
- 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 2027 Internship
- Semester Schools: May 24, 2027 – August 13, 2027
- Quarter Schools: June 21, 2027 – September 10, 2027
WHAT YOU WILL BE DOING:
We are seeking highly motivated AI Research Technical Program Manager intern/co-op to join our team. In this role –
- 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.
WHO WE ARE 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 is a plus.
- Familiarity with LLM post-training, RLHF, preference optimization, reward modeling, or AI agents is a plus.