Optimize large language models for efficiency and performance on AMD hardware.
Develop agentic systems and contribute to software optimizations using PyTorch and vLLM.
Document research findings through technical reports, presentations, and potential publications.
What they're looking for
Master’s or PhD students in Computer Science or Electrical Engineering.
Proficiency in Python or C++ with knowledge of machine learning stacks.
Experience in GPU architecture, performance analysis, or agentic software engineering.
Must be available full-time from January 25, 2027, to August 13, 2027.
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 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, USA
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 term.
Duration: Spring/Summer 2027 Co-Op: January 25, 2027 - August 13, 2027
WHAT YOU WILL BE DOING
We are seeking a highly motivated Agentic/ML System Co-op who is pursuing a master’s or PhD degree in Computer Science, Electrical Engineering, or a related field and has a strong interest in machine learning systems and agentic AI. In this role, you will collaborate with our research and engineering teams to explore techniques that improve the efficiency, scalability, and performance of open-weight large language models on modern hardware architectures.
Work with state-of-the-art open-weight large language models (LLMs) and leverage frontier coding agents to accelerate research and development.
Contribute to agentic system design and software and hardware optimizations for machine learning workloads across AMD GPUs, vLLM, SGLang, and PyTorch.
Collaborate with ML scientists, engineers, and architects in a dynamic, fast-paced environment that reflects the rapidly evolving AI ecosystem.
Document your findings and contribute to technical reports, presentations, and potentially research publications.
WHO WE ARE LOOKING FOR
Currently enrolled in a master’s or PhD program in Computer Science, Electrical Engineering, or a related field at a U.S.-based university; PhD candidates are preferred.
Proficiency in Python and/or C++, with exposure to performance profiling or optimization.
A general understanding of machine learning software stacks and large language models, including frameworks such as PyTorch or JAX and coding-agent harnesses.
A builder’s mindset, strong motivation, and intellectual curiosity, along with the ability to explore unfamiliar areas and incorporate feedback effectively.
Demonstrated knowledge or experience in at least one of the following areas, preferably through relevant projects:
Agentic software engineering, agent-harness development and evolution, or agent and skill evaluation.
Performance analysis, GPU architecture, GPU kernel development and debugging, or machine learning compilers.
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.
This role is not eligible for visa sponsorship.
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.
From AMD's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
