Spring/Summer 2026 PhD Agent Task Planning for Resource-Constrained Client Devices Co-op

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_

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: San Jose, CA, US
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), either in a hybrid or onsite or remote work structure throughout the duration of the co-op/intern term.
• Duration: January 26, 2026 to August 7, 2026 

WHAT YOU WILL BE DOING:

We are seeking a highly motivated co-op student to work on Agent Task Planning and Fine-Tuning for Resource-Constrained Client Devices. In this role:

• We will involve you in developing a task planning framework powered by Large Language Models, designed to operate effectively on client devices with limited resources.
• We will assign you the task of building and refining a focused prototype that demonstrates a practical use case, such as computer tasks, browser interactions, or database reasoning.
• Your responsibility will include extending the capabilities of constrained LLMs through context condensation, fine-tuning, and Low-Rank Adaptation (LoRA).
• We will train you to collaborate with AMD AI teams to help bring your developed techniques into practical, real-world deployments.
• You will gain experience in building efficient LLM systems, optimizing for edge environments, and contributing to scalable AI agent architectures.

WHO WE ARE LOOKING FOR:

• You are currently enrolled in a PhD program in Computer Science, Electrical Engineering, AI/ML, or a related field.
• You have strong programming skills, preferably in Python, and experience building and testing AI prototypes.
• You have worked with local AI inference, retrieval-augmented generation (RAG), fine-tuning, and LoRA techniques.
• You are familiar with agent architectures involving memory, API connectors, workflow orchestration, and multi-component pipelines (MCP).
• You have prior experience with AI agent task planning through coursework, research, or projects.
• Bonus: You have published or presented work at premier AI/ML conferences such as NeurIPS, ICML, or ICLR.

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.

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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.