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Computer Science Phd Research Intern Jobs (NOW HIRING)

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge ... Currently pursuing a PhD or Master's degree in Computer Science, Machine Learning, NLP, or a ...

Hey, g'day, mabuhay, kia ora, , hallo, vitejte! We're looking for current PhD students ready to ... As a Generative AI Research Scientist Intern at Canva, you'll advance the frontier of agentic AI ...

Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! We're looking for current PhD students ready ... As a Generative AI Research Scientist Intern at Canva, you'll advance the frontier of agentic AI ...

2027 PhD Quantitative Research Intern Miami, Florida, United States The Role We are seeking ... computer science (ideally with one year left in your academic program) * Excellent programming ...

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... Currently enrolled in a PhD program in Computer Science, Statistics, or Linguistics * Research ...

Research Intern

New York, NY · On-site

$300K - $500K/yr

We're hiring a Research Intern to help us answer a question no one has answered yet: how do you ... Currently enrolled in a PhD program in Computer Science, Statistics, or Linguistics * Research ...

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Currently enrolled in a PhD program in Mathematics, Statistics, Computer Science, Physics or a ...

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Currently enrolled in a PhD program in Mathematics, Statistics, Computer Science, Physics or a ...

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How much do computer science phd research intern jobs pay per month?

As of Sep 9, 2026, the average monthly pay for computer science phd research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What does a computer science PhD research intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.

What types of projects and collaborations can a computer science PhD research intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.

What are the key skills and qualifications needed to thrive as a computer science PhD research intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.
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Infographic showing various Computer Science Phd Research Intern job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

PhD Research Intern, Generative AI - 2026

Santa Clara, CA • On-site

NVIDIA
Computer and Electronic Product Manufacturing • 10K+ employees

Other

Re-posted 14 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

US, CA, Santa Clara

Full time

JR2016035

At NVIDIA, we are building Cosmos world foundation models and generative AI systems for Physical AI across robotics, autonomous driving, smart spaces, and embodied agents.

The NVIDIA Cosmos Platform enables multimodal world understanding, simulation, synthetic data generation, and embodied reasoning. We are looking for outstanding PhD interns to help advance the frontier of Physical AI and world models.

What you’ll be doing:

  • Conduct research in generative AI, multimodal foundation models, world models, and embodied AI.

  • Develop algorithms for video understanding/generation, action-conditioned simulation, multimodal reasoning, and policy learning.

  • Train and evaluate large-scale models using video, image, language, and robotics or autonomous driving data.

  • Collaborate with researchers and engineers across AI, robotics, simulation, and graphics teams.

  • Publish research at top conferences and transfer innovations into NVIDIA products.

What we need to see:

  • Currently pursuing a PhD in CS, EE, Robotics, or related fields.

  • Strong background in generative AI, computer vision, multimodal learning, robotics, or reinforcement learning.

  • Prior publication record and research experience.

  • Strong Python and PyTorch skills.

Ways to stand out from the crowd:

  • Experience with large-scale foundation model training.

  • Research in video models, VLMs, world models, robotics, or autonomous driving.

  • Experience with distributed training, simulation, or embodied AI.

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. If you're creative and autonomous, we want to hear from you!

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 30 USD - 94 USD.

You will also be eligible for Intern benefits (https://www.nvidia.com/en-us/benefits/interns/) . ​

Applications for this job will be accepted at least until May 31, 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA .


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US