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2026 PhD Artificial Intelligence Framework Engineer Co-Op/Intern

Advanced Micro Devices, Inc
San Jose, CA Intern
POSTED ON 3/28/2026
AVAILABLE BEFORE 1/8/2027


WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  




As an AMD intern/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 or Santa Clara, CA
  • 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/Fall Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026
    • Summer Internship: May 18, 2026 - August 7, 2026 or June 22, 2026 – September 11, 2026
    • Fall Internship: September 14, 2026 – December 11, 2026

 

WHAT YOU WILL BE DOING:

We are seeking a highly motivated Software Engineering co-op to join our team. In this role:

  • You will develop and benchmark AI software frameworks and tools.
  • Your responsibility will include operator development and model deployment across CPU/GPU/NPU stacks.
  • You will research inference quantization and acceleration for models such as LLMs, ViTs, and CNNs.
  • You will collaborate closely with development teams and project managers to drive performance improvements.

WHO WE ARE LOOKING FOR:  

  • Currently enrolled in a U.S.-based PhD program in Computer Science, Computer Engineering, or a related field.
  • Strong programming ability in C /CUDA and Python.
  • Experience with PyTorch, TensorFlow, vLLM, SGLang, or ONNX.
  • Familiarity with development tools such as git, cmake, make, conda, or docker.
  • Knowledge of data structures, algorithms, image processing, neural networks, and computer architecture.
  • Experience with AI framework development, operator implementation, ML quantization, or compilers is a plus.

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.

 




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.

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