PhD Research Intern, Programming Systems - 2027

AI in this role

computer-vision

NVIDIA is seeking an outstanding researcher to join our programming systems research team. If you would like to help build the future of computing by equipping programmers with the tools they need to use parallel computing systems, this team will be a great fit for you! We seek to invent innovative parallel algorithm techniques, expressive parallel programming models/languages, powerful code analysis & generation tools, and scalable runtime environments that can help accelerate a broad range of real-world applications. After developing novel solutions and building prototype software that demonstrates their promise, you will work with product teams to help integrate your ideas into NVIDIA's accelerated computing platform.

What you'll be doing:

Develop algorithms and design software extending the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business.
Invent new techniques, technologies, methodologies, and processes, 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:

Pursuing a PhD Degree in relevant discipline(s) (CS, CE, EE, Physics, Math).
2+ years of relevant industrial and University experience preferred. Relevant industries include hardware, software, and algorithm development on desktop, mobile, embedded, and datacenter systems.
Strong programming ability in at least one of the following languages: C, C++, Python, and/or Rust.
Track record of research contributions in programming languages, compilers, runtime systems, parallel algorithms, formal verification, agentic software authoring/optimization, or related fields.
Published academic papers in your field of research.

Ways to stand out from the crowd:

Expertise in applying programming system insights and techniques to problems in machine learning, data science, and/or distributed computing.
Expertise in using AI to author, optimize, verify, and maintain software.
Proven ability to implement your ideas to run on the GPU.
Experience building software systems used by other developers to solve their own problems.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for advancing programming models and systems? Would you like to see your innovations potentially impact a wide variety of verticals and industries ranging from AI to HPC to Autonomous Vehicles and Medical Imaging? Come join a diverse research group that works on hard and meaningful problems; that consistently publishes at top venues in graphics, computer vision, parallel computing, and artificial intelligence; and that values real impact on NVIDIA products and the industry at large.

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD.


You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until October 4, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

PhD Research Intern, Programming Systems - 2027 at NVIDIA rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer Vision

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: Computer Vision. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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