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Internship Nvidia Research Jobs (NOW HIRING)

Nvidia

OR · On-site

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

Nvidia

OR

$15 - $20/hr

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An ... Our internship hourly rates are a standard pay based on the position, your location, year in school ...

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How much do internship nvidia research jobs pay per month?

As of Jun 9, 2026, the average monthly pay for internship nvidia research 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 are the key skills and qualifications needed to thrive as an Nvidia Research Intern, and why are they important?

To thrive as an Nvidia Research Intern, you typically need a strong background in computer science, mathematics, or a related field, often supported by ongoing graduate or undergraduate study. Familiarity with programming languages such as Python or C++, experience with deep learning frameworks like TensorFlow or PyTorch, and knowledge of GPU computing are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns contribute meaningfully to collaborative research projects. These skills are crucial for engaging in cutting-edge research, driving innovation, and making a tangible impact within Nvidia's fast-paced, technology-driven environment.

What is an Internship at Nvidia Research?

An Internship at Nvidia Research is a temporary position for students or recent graduates to work alongside world-class researchers and engineers on cutting-edge projects in artificial intelligence, deep learning, computer graphics, and related fields. Interns collaborate on innovative research, contribute to publications, and gain hands-on experience with advanced technologies. The program is designed to provide mentorship, skill development, and networking opportunities, often leading to future career prospects in the tech industry.

What types of projects do interns typically work on at Nvidia Research, and how are project assignments determined?

Interns at Nvidia Research often contribute to cutting-edge projects in areas like artificial intelligence, computer vision, graphics, and high-performance computing. Project assignments are matched to interns based on their skills, academic background, and research interests, as well as current team needs. Interns collaborate closely with experienced researchers and engineers, gaining hands-on experience and often co-authoring papers or presenting findings. This environment encourages learning, innovation, and professional growth, making it an excellent opportunity for those considering a research career.

What is the difference between Internship Nvidia Research vs Nvidia Research Engineer?

AspectInternship Nvidia ResearchNvidia Research Engineer
Required CredentialsUndergraduate or graduate student, relevant courseworkMaster's or PhD in Computer Science, Electrical Engineering, or related fields
Work EnvironmentTemporary, project-based, collaborative research settingFull-time, ongoing research and development projects
Employer & Industry UsageInternship program within Nvidia's research divisionFull-time research roles within Nvidia's R&D teams

Internship Nvidia Research offers students hands-on experience in cutting-edge AI and graphics research, typically lasting a few months. Nvidia Research Engineers are full-time professionals responsible for developing and implementing innovative solutions. Internships are ideal for students exploring careers, while research engineer roles are for those seeking long-term employment in Nvidia's R&D division.

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Internship Nvidia Research jobs near you
Infographic showing various Internship Nvidia Research job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 2% Temporary, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.
Senior Research Scientist, Efficient Deep Learning

Senior Research Scientist, Efficient Deep Learning

Nvidia Corporation

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Posted 28 days ago

Job description

NVIDIA is searching for an outstanding Senior Researcher working on efficient deep learning to join our learning and perception research team. We are passionate about research that pushes boundaries but also has impact in the real world. We are particularly excited about methods for post-training model optimization (pruning, quantization, NAS), efficient architecture design, adaptive/dynamic inference, resource-efficient training and fine-tuning, and so forth. You will work within an amazing and collaborative research team that consistently publishes at the top venues in computer vision and machine learning. Our existing expertise includes computer vision, deep learning, generative models, and so forth. Your contributions have the chance to create real impact on our products.
What you'll be doing:
  • Research, design and implement novel methods for efficient deep learning.
  • Publish original research. Speak at conferences and events.
  • Collaborate on research with internal team members, internal teams as well as external researchers. Mentor interns.
  • Work with product groups to transfer technology.

What we need to see:
  • A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent experience in industrial research labs.
  • 3+ years or relevant post-graduate research experience
  • Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
  • A background in pruning, quantization, NAS, efficient backbones is required.
  • Experience with large language models and large vision-language models is a plus.
  • Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA).
  • Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
  • An outstanding research track record and strong communications skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and collaborative researcher, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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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

Year founded

1993

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