About the role#
This research position focuses on building tools for parallel computing systems. You will work on inventing parallel algorithm techniques, programming models, and code analysis tools. The goal is to create scalable runtime environments that accelerate real-world applications. You will develop novel solutions, build prototypes, and work with product teams to integrate your ideas into the NVIDIA 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, processes, and methodologies to enable future products.
- Deliver prototypes, patents, and academic publications.
- Produce a technology vision for products 5-10 years into the future.
- Collaborate with product teams to integrate your research into our computing platform.
What you'll need#
- Current pursuit of a PhD in Computer Science, Computer Engineering, Electrical Engineering, Physics, or Mathematics.
- At least 2 years of relevant industrial or university experience.
- Strong programming skills in C, C++, Python, or Rust.
- A track record of research in compilers, programming languages, runtime systems, parallel algorithms, formal verification, or agentic software optimization.
- Published academic papers in your field.
- Expertise in applying programming system insights to machine learning, data science, or distributed computing is a plus.
- Experience using AI to author, optimize, or verify software.
- Ability to implement ideas to run on a GPU and experience building systems for other developers.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Status: Full-time internship.
- Compensation: 38 USD to 94 USD per hour.
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.
