PhD Research Intern, Computer Architecture and Systems - 2025

By submitting your resume, you’re expressing interest in one of our 2025 Computer Architecture or Systems focused Research  Internships. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. 

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? 

What you'll be doing: 

• Develop algorithms and design hardware and software extending the state of the art in computing, graphics, media processing, and other technology areas surrounding NVIDIA's business. 

• Invent new techniques, technologies, methodologies, processes, and devices, to enable new products or types of products. Deliverable results include prototypes, patents, leading to products and publications. 

• Produce technology vision and the basis for products 5-10 years out. Focus should not be on products currently shipping or in development, except as to how they can be extended and improved. 

What we need to see: 

• Currently pursuing a PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math). 

• Research experience in at least one of the following areas: 

• Computer Architecture 

• Operating Systems 

• Compilers 

• HPC 

• Systems 

• Parallel Computing 

• Distributed Computing 

• Networks- Large Scale System Design 

• Topologies 

• Routing protocols 

• Network Management 

• Resilience 

• Power Management 

• Resource Disaggregation 

• ASIC and VLSI 

• ASIC and VLSI Design Techniques 

• Machine Learning Accelerator Approaches 

• Excellent programming skills in one or more of the following: C, C++, Perl, Python, and Rust. 

• Familiarity with CUDA. 

• A strong publication, patent, presentation, and research collaboration history is a plus. 

• Excellent communication skills. 

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world. Are you a creative and collaborative researcher with a real passion for computer graphics? If so, we want to hear from you!