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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 ...

Workato

Lead AI Research Scientist

San Francisco, CA

$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 ...

Workato

Intern, AI Engineering

San Francisco, CA

... Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and ... Proficiency in CUDA programming and custom kernel development for LLM operations * Background in ...

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How much do cuda internship jobs pay per month?

As of Jun 27, 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 17% Internship, 66% Full Time, and 17% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.

Junior Software Engineer Intern

LRS

Brookfield, WI

$23.50/hr

Other

Posted 9 days ago

Job description

Job Description Codeworks, an LRS company, is seeking a Software Engineering Intern for an intern opportunity supporting MR reconstruction software development. This role offers practical experience contributing to meaningful healthcare technology projects for one of our client partners. Our client is seeking software engineering interns to contribute to the development of advanced MR reconstruction software.

Individuals in this role will work with modern computing and software platforms to support progress in medical imaging technology. Responsibilities Contribute to the development and testing of MR reconstruction software using highperformance computing platforms (e.g., GPUs and multicore CPUs) Explore and evaluate emerging computing technologies to support performance improvements Collaborate with crossfunctional teams to translate reconstruction algorithms into production software Required Qualifications Proficiency in C++ and familiarity with Linux operating systems Understanding of objectoriented programming concepts and design patterns Strong analytical and problemsolving skills Enrollment in a bachelor'slevel program in biomedical engineering, computer science, electrical engineering, software engineering, or a related field Experience with GPU programming technologies 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 experience. The range displayed reflects the minimum and maximum target for new hires of this position across all U.S

locations. Individual pay is determined by work location and additional job-related factors. Codeworks, an LRS company, is an equal opportunity employer.

Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, Codeworks, an LRS company, uses generative artificial intelligence ("AI") in support of our hiring processes. Codeworks takes steps to ensure the use of AI does not result in discrimination based on protected class(es).

AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out.

Please contact AI.Questions@lrs.com with any questions.

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