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Cuda Internship Jobs (NOW HIRING)

Intel

AI Software Engineering Intern

Phoenix, AZ

Graphics experience (GPU / CUDA) Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research. Internship ...

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 ...

Unconventional AI

Junior System Modeling

... CUDA) or other hardware accelerators. • Prior research or internship experience in high-performance computing (HPC) or neuromorphic systems. • Contributions to open-source AI or systems software ...

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How much do cuda internship jobs pay per month?

As of Aug 20, 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 is a Cuda internship?

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 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 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 August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $63,482 per year, or $30.5 per hour.

AI Software Engineering Intern

Intel

Phoenix, AZ

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

19th of 159 rated electronics manufacturers

Job description

Job Details:Job Description: 

Contributes to the design, development, and optimization of AI software solutions including algorithms, frameworks, and AI software architectures across domains such as computer vision, machine learning, and deep learning. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware-software integration. May also include the creation of AI software solutions in partnership with internal product teams and external partners as well as system-level deployment to enable scalable and efficient AI solutions. As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands-on experience and projects that support Intel business goals in a collaborative environment.

This position requires to be onsite 2 days per week.

Qualifications:
This position is not eligible for employment-based visa/immigration sponsorship. Intel sponsors individuals for employment-based visas for positions where we experience a shortage of US Workers. These skills shortage roles are typically STEM contributing positions requiring a Master's or PhD degree, or a Bachelor's degree with at least three years of post-degree related job experience. This position does not qualify for Intel Sponsorship because it is either (1) a non-STEM contributing position, or (2) a STEM position that only requires a Bachelor's degree and less than three years' experience.

Minimum Qualifications:
Available to work part-time for 6-12 months and to work onsite for the duration of the internship while pursuing a degree.
Pursuing a BS in the field of Computer Science , Electrical Engineering , Math or Computer Engineering or Data Science with 3+ months of experience in:
Programming languages such as Python and C++, and experience with AI frameworks and libraries like PyTorch, TensorFlow, ONNX Runtime, and OpenVINO.

Preferred Qualifications

  • Graphics experience (GPU / CUDA)


Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Internship length: 6 - 12 m

Job Type:Student / InternShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $101,100.00-136,800.00 USD (Hourly Role)The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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Benefits

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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