Posted:
3/24/2026, 11:39:51 PM
Location(s):
Santa Clara, California, United States ⋅ California, United States
Experience Level(s):
Internship
Field(s):
AI & Machine Learning
Workplace Type:
On-site
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
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
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.
Annual Salary Range for jobs which could be performed in the US: $113,500.00-153,600.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
Work Model for this Role
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.Website: https://www.intel.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1968
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Artificial Intelligence (AI) ⋅ Information Technology ⋅ Product Design ⋅ Semiconductor ⋅ Software