About the role#
NVIDIA Research develops hardware, software, and algorithmic technologies for next-generation GPU systems. This internship focuses on long-term technology vision, specifically targeting products and architectures 5-10 years into the future. You will work on research that extends beyond current shipping products.
What you'll do#
- Conduct research on algorithms, hardware, and system software in areas like deep learning, humanoid robotics, and general computing.
- Invent new techniques, processes, and devices that lead to prototypes, patents, or publications.
- Develop methods for scientific evaluation, including simulation, modeling, and benchmarking.
- Build the foundation for future technology through research and experimentation.
What you'll need#
- Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Physics, or Mathematics.
- At least one year of university or industrial research experience in computer architecture or systems, such as compilers, distributed systems, or AI/ML systems.
- Strong programming skills, with a preference for C, C++, and Python.
- Experience evaluating research ideas through prototyping, simulation, or modeling.
- Ability to clearly communicate research methods and results.
- Interest in using AI tools for system design and software development.
Location & details#
- Location: Santa Clara, California.
- Modality: On-site.
- This is a full-time, paid internship with rolling start dates.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
