2026 PhD Artificial Intelligence Framework Engineer Co-Op/Intern

Advanced Micro Devices, Inc•Santa Clara, CA

14d•Hybrid

About The Position

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

Requirements

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.

Nice To Haves

Experience with AI framework development, operator implementation, ML quantization, or compilers is a plus.

Responsibilities

Develop and benchmark AI software frameworks and tools.
Operator development and model deployment across CPU/GPU/NPU stacks.
Research inference quantization and acceleration for models such as LLMs, ViTs, and CNNs.
Collaborate closely with development teams and project managers to drive performance improvements.