About the role#
NVIDIA Research is looking for PhD students to join our Hardware and Systems Architecture team. This role focuses on long-term technology development, looking 5 to 10 years into the future. You will work on research that extends beyond current product cycles to shape the next generation of computing.
What you'll do#
- Conduct research on algorithms, hardware, and system software. This includes work in deep learning, humanoid robotics, database analytics, and general computing.
- Invent new techniques, methodologies, and devices that lead to prototypes, patents, or publications.
- Develop new methods for research and scientific evaluation, including simulation, modeling, and benchmarking.
- Create a technology vision for products 5 to 10 years out.
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 operating systems, compilers, or AI/ML systems.
- Strong programming skills in C, C++, and Python.
- Experience evaluating research ideas through prototyping, simulation, modeling, or experimentation.
- A clear ability to communicate research methods and results.
- An interest in using AI tools for system design and software development.
Location & details#
- This is a full-time, paid internship.
- Positions are located on-site in Santa Clara, California, or Westford, Massachusetts.
- Hiring is on a rolling basis.
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.
