2026 PhD Artificial Intelligence Models Software Engineer Co-Op/Intern

Advanced Micro Devices, Inc•Santa Clara, CA

1d•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 WHAT YOU WILL BE DOING: We are seeking a highly motivatedn AI Models Software Engineering intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role – Innovative Research: Work on groundbreaking projects and collaborate with a team of highly skilled industry specialists. Optimize AI Models: Leverage quantization, sparsity, and architecture search methods to optimize and enhance the performance, efficiency, and accuracy of Generative AI models. Unlock the full potential of AI technology and enable groundbreaking solutions. Collaborate with Experts: Work with software engineers, data scientists, and researchers to integrate AI models into software applications and platforms. Learn from the best and work together to achieve seamless integration and optimal performance. Stay Ahead of the Curve: Stay updated with the latest advancements in AI algorithms, frameworks, and technologies. Continuously explore new techniques and approaches to be the benchmark in AI development and optimization technology. Research, design, and implement novel methods for efficient Generative AI Algorithmic model optimization methods design including quantization, sparsity, NAS, etc Publish your work.

Requirements

You are currently enrolled in a US based University in a PhD program in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Project experience on generative tasks. Familiar with deep learning frameworks, e.g., Pytorch/JAX/ONNX/TensorFlow
Project experiences on model compression, quantization, and end-to-end inference optimization
Strong knowledge of artificial intelligence, deep learning or machine learning
Strong coding skills in Python required, C/C++ skills a plus
Skilled in academic paper writing and technical innovation

Nice To Haves

Additional plus if recent publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc
Skills related to LLMs, stable diffusion, NeRF, or text-to-video generation is a plus
Experience in optimizing and accelerating NLP/Generative AI models is a plus

Responsibilities

Research, design, and implement novel methods for efficient Generative AI
Algorithmic model optimization methods design including quantization, sparsity, NAS, etc
Publish your work