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Cuda Internship Jobs (NOW HIRING)

LRS

Junior Software Engineer Intern

Brookfield, WI

$23.50/hr

... such as CUDA and/or OpenCL Familiarity with scripting languages such as Bash or Python Strong foundation in mathematics The pay for this internship position is $23.50 per hour, depending on ...

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160K/yr

... GPU architecture • CUDA or OpenCL programming experience • Experiences in systems with ... and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...

NVIDIA

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... GPU architecture • CUDA or OpenCL programming experience • Experiences in systems with ... and interns is a bonus Company : NVIDIA is a computing platform company operating at the ...

Workato

Lead AI Research Scientist

San Francisco, CA · On-site

$357K/yr

You will build, lead, and mentor a team of applied researchers and interns, fostering a culture of ... techniques, and CUDA. * Deep expertise across structured and unstructured enterprise data ...

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Cuda Internship information

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How much do cuda internship jobs pay per month?

As of Jun 23, 2026, the average monthly pay for cuda internship in the United States is $5,290.17, according to ZipRecruiter salary data. Most workers in this role earn between $3,000.00 and $7,500.00 per month, depending on experience, location, and employer.

What kind of projects or tasks can I expect to work on during a Cuda Internship?

As a CUDA intern, you’ll typically work on tasks related to developing, profiling, or optimizing GPU-accelerated applications and algorithms. Your responsibilities may include writing and testing CUDA kernels, analyzing code performance, and assisting in integrating GPU computing into software projects. You may also collaborate with experienced engineers, learn to use industry-standard tools, and participate in team meetings to discuss technical challenges or progress. This hands-on experience is designed to strengthen your technical skills while giving you insight into real-world GPU development workflows.

What is a Cuda Internship job?

A CUDA Internship is a temporary position where interns work with NVIDIA's CUDA parallel computing platform. They typically assist in developing and optimizing GPU-accelerated applications for tasks like machine learning, scientific computing, and gaming. Interns may work on improving algorithms, writing CUDA kernels, or debugging performance issues. This role requires knowledge of C/C++, GPU architectures, and parallel programming concepts. It's ideal for students or recent graduates interested in high-performance computing and GPU programming.

What are the key skills and qualifications needed to thrive in the Cuda Internship position, and why are they important?

To thrive as a Cuda Intern, you should have a solid background in computer science, strong programming skills (especially in C/C++), and foundational knowledge of parallel computing or GPU architectures. Familiarity with CUDA programming, NVIDIA development tools, and understanding of performance optimization techniques are highly valuable for this role. Strong problem-solving abilities, eagerness to learn, and good teamwork and communication skills will help you excel as an intern. These competencies enable you to contribute effectively to CUDA-based projects and adapt to the fast-paced, innovative environment often found in tech industries.

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Cuda Internship jobs near you
Infographic showing various Cuda Internship job openings in the United States as of June 2026, with employment types broken down into 13% Internship, 7% As Needed, 7% Full Time, 70% Part Time, and 3% Temporary. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.
Senior Research Scientist, AI-Mediated Reality and Interaction

Senior Research Scientist, AI-Mediated Reality and Interaction

NVIDIA

Santa Clara, CA • On-site

$115K - $147K/yr

Full-time

Posted 19 days ago

Job description

Job Summary:
NVIDIA is a leading technology company seeking a Senior Research Scientist for AI-Mediated Reality and Interaction. The role involves conducting fundamental research and developing innovative algorithms for human-AI interaction and 4D world modeling, impacting various NVIDIA products.
Responsibilities:
• Propose novel fundamental research that advances the state-of-the-art in the broader research community and is relevant to NVIDIA’s business; and prototype and test your ideas.
• Patent and publish your research in top-tier conferences (CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.).
• Collaborate with other research team members, external researchers, and mentor interns and junior researchers.
• Create working interactive demonstrations to showcase your research ideas.
• Participate in technology transfer with engineers around NVIDIA as ideas 'graduate' from research to product.
Qualifications:
Required:
• Ph.D. in Computer Science/Electrical Engineering or equivalent research experience.
• 3+ years of relevant postdoctoral or industrial research experience
• Outstanding research and publication track record exemplified in conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, etc.
• Proficiency in theory and practice of AI and computer vision algorithms.
• Experience with 3D graphics development.
• Strong programming skills in Python & C++; CUDA is a plus
• Proficiency with distributed deep learning training frameworks, e.g., PyTorch.
• Excellent communication skills.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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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