About the role#
We are looking for a researcher to join our programming systems team. You will help build the future of computing by creating tools for parallel systems. The team focuses on inventing parallel algorithm techniques, programming models, and code analysis tools to accelerate real-world applications. You will develop novel solutions, build prototypes, and work with product teams to integrate your ideas into our accelerated computing platform.
What you'll do#
- Develop algorithms and software that extend the state of the art in parallel computing, machine learning, and data analytics.
- Invent new techniques and processes to enable future products.
- Produce prototypes, patents, research papers, and software tools.
- Create a technology vision for products five to ten years into the future.
- Collaborate with product teams to integrate research into our accelerated computing platform.
What you'll need#
- Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, Physics, or Mathematics.
- Two or more years of relevant industrial or university experience.
- Strong programming skills in C, C++, Python, or Rust.
- A track record of research in areas like compilers, runtime systems, parallel algorithms, formal verification, or agentic software optimization.
- Published academic papers in your field.
- Experience building software systems used by other developers.
- Ability to implement ideas that run on the GPU.
- Expertise in using AI to author, optimize, verify, or maintain software is a plus.
- Experience applying programming system insights to machine learning, data science, or distributed computing is a plus.
Location & details#
- Location: Santa Clara, California.
- This is a full-time, on-site internship.
- Compensation is 38 USD to 94 USD per hour, based on experience and education.
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.
