Graduate AI and GPU Research Intern

Intel • Us, CA

8d • Onsite

About The Position

We are seeking an exceptional graduate student to join our advanced research team as an AI and GPU Research Intern. This position offers the opportunity to lead cutting-edge research projects in artificial intelligence and GPU computing, with potential for significant contributions to the field. The intern will work on high-impact research problems while collaborating with senior scientists and contributing to publications and patent applications.

Requirements

• Currently enrolled graduate student (MS/PhD) in Computer Science, Electrical Engineering, Computer Engineering, or related field
• Minimum GPA of 3.5
• Strong research background with demonstrated publications or significant projects
• Advanced programming skills in Python, C++, and CUDA
• Deep understanding of machine learning theory and modern AI architectures
• Extensive experience with GPU programming and parallel computing concepts
• Proficiency with multiple deep learning frameworks (PyTorch, TensorFlow, JAX)
• Experience with distributed computing and multi-GPU training
• Strong mathematical foundation in linear algebra, optimization, and statistics
• Proven ability to conduct independent research
• Excellent technical writing and presentation skills

Nice To Haves

• PhD candidate with 2+ years of research experience
• Published research in top-tier AI/ML or computer systems conferences (NeurIPS, ICML, ICLR, ISCA, MICRO, etc.)
• Experience with large language models, computer vision, or other state-of-the-art AI domains
• Knowledge of GPU architecture design and hardware-software co-optimization
• Experience with performance profiling and optimization tools (Nsight, CUPTI, etc.)
• Familiarity with emerging computing paradigms (quantum computing, neuromorphic computing)
• Experience with cloud computing platforms and containerization (Docker, Kubernetes)
• Background in compiler optimization or domain-specific languages
• Previous industry research internship experience
• Open-source contributions to major AI/ML projects

Responsibilities

• Lead independent research projects in AI algorithm development and GPU optimization
• Design and implement novel AI architectures optimized for next-generation GPU hardware
• Conduct advanced research in parallel computing, distributed training, and GPU cluster optimization
• Develop innovative solutions for memory management and data movement in large-scale AI systems
• Prototype and evaluate emerging AI techniques (transformer architectures, diffusion models, etc.) on GPU platforms
• Mentor undergraduate researchers and interns
• Author technical papers for peer-reviewed conferences and journals
• Present research findings at internal seminars and external conferences
• Collaborate with hardware teams on co-design of AI algorithms and GPU architectures
• Contribute to grant proposals and research roadmap development

Benefits

• We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
• Find out more about the benefits of working at Intel .

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees