NVIDIA 2026 Internships: PhD Computer Architecture and Systems Research - US

Details

NVIDIA is recruiting PhD-level research interns for Computer Architecture and Systems-focused research internships. These internships provide hands-on research experience across GPU and CPU architecture, systems architectures, operating systems, AI systems, and distributed systems, with the goal of transferring research into prototypes, patents, products, and/or published papers.

Responsibilities

• Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems.
• Collaborate with team members, cross-functional teams, and external researchers.
• Transfer research outcomes to product groups; deliverables may include prototypes, patents, products, and/or original research publications.

Requirements

• Must be actively enrolled in a university pursuing a PhD in Computer Science, Electrical Engineering, or a related field for the entire duration of the internship.
• Strong background in research with publications at top conferences.
• Excellent communication and collaboration skills.
• Depending on the internship, prior experience or knowledge may include programming skills and technologies such as: C, C++, Python, CUDA.

Potential internships require research experience in at least one of the following areas:

• Chip-level and system-level architecture: GPU and multi-GPU architecture, scalable memory systems and new memory technologies, scalable on-chip and off-chip interconnects, chip-level and system-level scheduling, power/performance/energy efficiency, specialized accelerators, hardware-software co-design.
• Systems for AI/ML: systems infrastructure for large LLM training and inference, system/AI algorithms co-design (e.g., for sparsity), AI/ML for systems (hardware design, code optimization), ML for EDA.
• Programming systems: GPU-accelerated algorithms, languages and programming models for parallel computing, optimizing compilers and AI-based performance assistants, distributed runtime systems, systems software and OS interfaces, optimizing GPU-accelerated workloads, compilers and code verification.
• High-performance networking and interconnects: large-scale GPU networking, topologies, routing and congestion control, networking at the intersection of scale-out and scale-up.
• VLSI and Electronic Design Automation (EDA), including GPU-accelerated EDA.

Compensation and Benefits

• Internship hourly rate range: 30 USD - 94 USD per hour (standard pay based on position, location, year in school, degree, and experience).
• Eligible for intern benefits (see NVIDIA intern benefits pages).

Additional Information

• Applications are accepted on an ongoing basis.
• NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.