NVIDIA 2026 Internships: PhD Computer Architecture And Systems Research

Details

By submitting your resume, you’re expressing interest in one of our 2026 Computer Architecture and/or Systems focused Research Internships. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds. Our internships offer an excellent opportunity to expand your career and get hands-on experience with industry-leading Computer Architecture and Systems teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Responsibilities

• Design and implement algorithms, hardware, and software solutions that advance computing, graphics, media processing, and related technologies central to NVIDIA's innovation.
• Collaborate with other team members, teams, and/or external researchers.
• Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

Requirements

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

Potential internships require research experience in at least one of the following areas (examples listed in the posting):

• Hardware-software co-design
• Computer Architecture
  • GPU and Multi-GPU Architecture
  • Scalable memory systems
  • System-level GPU scheduling
  • Power, performance, and energy-efficiency in large-scale systems
• Programming Systems
  • Parallel Computing
  • Optimizing GPU-accelerated workloads
  • Distributed Computing
  • Compilers
• High-Performance Networking and Interconnects
  • Large-scale GPU networking
  • Topologies, routing, and congestion control
  • Circuits and microarchitecture for network controllers and switches
• VLSI and Electronic Design Automation (EDA)
  • GPU Accelerated EDA
• Systems for AI/ML
  • Systems infrastructure for large LLM training and inference
  • ML for hardware systems (ML for EDA)

Benefits

• Internship hourly rate: 30 USD - 94 USD (standard pay based on position, location, year in school, degree, and experience).
• Eligible for intern benefits (link to NVIDIA intern benefits referenced in original posting).
• Applications are accepted on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.