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Intern Cuda Developer Jobs (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

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Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

LRS

Junior Software Engineer Intern

Brookfield, WI · On-site

$23.50/hr

Codeworks, an LRS company, is seeking a Software Engineering Intern for an intern opportunity ... such as CUDA and/or OpenCL Familiarity with scripting languages such as Bash or Python Strong ...

Intel

AI Software Engineering Intern

Folsom, CA

... GPU programming, and performance optimization. Contributes to the design, development, and ... Graphics experience (GPU / CUDA) Job Type:Student / Intern Shift:Shift 1 (United States of America ...

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How much do intern cuda developer jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for intern cuda developer in the United States is $22.89, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Intern Cuda Developer vs Intern Software Engineer?

AspectIntern Cuda DeveloperIntern Software Engineer
Required SkillsCUDA programming, C/C++, parallel computingGeneral programming, algorithms, software development
Work EnvironmentTech companies, research labs focusing on GPU computingVarious industries including tech, finance, healthcare
CertificationsNone mandatory, but CUDA certifications helpfulNone mandatory, general software certifications beneficial

Intern Cuda Developers focus on GPU programming and parallel computing using CUDA, often in specialized tech or research settings. Intern Software Engineers have broader programming responsibilities across various platforms and industries. While both roles require programming skills, CUDA knowledge is specific to Intern Cuda Developers, making their work more specialized in high-performance computing.

What cities are hiring for Intern Cuda Developer jobs? Cities with the most Intern Cuda Developer job openings:
What are the most commonly searched types of Cuda Developer jobs? The most popular types of Cuda Developer jobs are:
What states have the most Intern Cuda Developer jobs? States with the most job openings for Intern Cuda Developer jobs include:
Intern Cuda Developer jobs near you
Infographic showing various Intern Cuda Developer job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, 1% Part Time, 12% Temporary, 1% Contract, and 2% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $47,621 per year, or $22.9 per hour.
PhD Research Intern, System Software and I/O Architecture - Fall 2026

PhD Research Intern, System Software and I/O Architecture - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 13 days ago

Job description

We are now looking for a PhD Research Intern with a focus in System Software and I/O Architecture!
NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of system software, inference and database GPU systems, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company.
What you'll be doing:
  • Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.
  • Understand and analyze the interplay between application, operating systems, CPU and GPU architectures, and efficient algorithm designs.
  • Collaborate with a diverse set of teams across the company, spanning software research, hardware engineering, and product groups.
  • Publish original research and speak at conferences and events.

What we need to see:
  • Currently pursuing a Ph.D. in CE/CS/EE or similar program area.
  • Research experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
  • Research experience designing and optimizing accelerated computing applications, with expertise in areas such as LLM inference, GPU-native database engines, and vector similarity search algorithms.
  • Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds.
  • Experience with experimental computer architecture research, software infrastructure development and evaluation.
  • A track record of well-documented open-source software release.
  • Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.

Ways to stand out from the crowd:
  • Experience with C, C++, CUDA, Python, Rust, and scripting languages. MPI and NCCL would be a plus.
  • Strong interpersonal skills and being a creative and dynamic presenter is a huge advantage.
  • A strong publication, patent, presentation, and research collaboration history is highly valuable.

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!
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.
Applications for this job will be accepted at least until June 28, 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.
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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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