NVIDIA 2027 Summer Internships: Ph.D. Engineering
$0k - $0k • Remote • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA is seeking strategic, ambitious, hard-working, collaborative, and creative Ph.D. Engineering interns to join their Computer Architecture and Systems teams for Summer 2027. This internship offers an excellent opportunity to expand your career and gain hands-on experience with industry-leading technologies. Interns will design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems, with the potential to transfer their research to product groups, resulting in prototypes, patents, products, or published research.
Responsibilities
- Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems.
- Collaborate with team members, other teams, and external researchers.
- Transfer research to product groups to enable new products.
- Deliver prototypes, patents, products, and/or publish original research.
Requirements
- Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field for the full duration of the internship.
- Anticipated graduation date clearly indicated on resume or CV.
- Prior experience or knowledge in C, C++, Python, and CUDA (depending on the internship).
- Strong research background with publications at top conferences.
- Excellent communication and collaboration skills.
- Research experience in at least one of the following areas: Chip-level and System-level Architecture, Systems for AI/ML, Programming Systems, High-Performance Networking and Interconnects, or VLSI and Electronic Design Automation (EDA).
Benefits
- Internship hourly rates
- Intern benefits