Graduate AI and GPU Research Intern

Job Details: Job Description: 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. Key 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 Qualifications: Required Qualifications 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 Preferred Qualifications 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 Job Type: Student / Intern Shift: Shift 1 (United States of America) Primary Location: US, California, Santa Clara Additional Locations: Business group: At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and ... (truncated, view full listing at source)