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Cuda Internship Jobs (NOW HIRING)

Deepinfra

Software Engineer, Early Career

Palo Alto, CA

$140K - $150K/yr

Implement, optimize, and evaluate AI models using Python, C++, CUDA, and NCCL (previous exposure ... internships. * Familiarity with AI models, Transformers and Diffusers. * Experience with version ...

Kasmo Global

Software Engineer role

Waukesha, WI

Transition algorithms from platforms such as MATLAB or OpenCL to CUDA. * Analyze and enhance image ... experience, including internships will be considered) for one of the roles and more senior ...

Ambarella

Algorithm engineer interns at Ambarella are responsible for developing highly efficient algorithms ... Strong programming skills in Python, C/C++, CUDA. * Excellent communication skills.

NVIDIA

Senior Deep Learning Compiler Engineer - XLA

Austin, TX · On-site

$103K - $142K/yr

... interns is a bonus. • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow. • Extensive experience with CUDA or with GPUs in general. • Experience with open-source ...

Kasmo Global

Software Engineer role

Brookfield, WI · Hybrid

Transition algorithms from platforms such as MATLAB or OpenCL to CUDA. * Analyze and enhance image ... experience, including internships will be considered) for one of the roles and more senior ...

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Cuda Internship information

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How much do cuda internship jobs pay per month?

As of Jun 19, 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.
Scientific Software Developer Paid Co-op/Internship

Scientific Software Developer Paid Co-op/Internship

Stellar Science

Albuquerque, NM • On-site

$18.75 - $24.50/hr

Internship

Posted 17 days ago

Job description

Selected Interns or Co-op students will support object-oriented C++ software development in the following domains: space domain awareness (SDA), image simulation, space systems modeling, laser source generation and effects modeling, high power microwave systems modeling and simulation, computer vision, image processing, artificial intelligence (AI), machine learning (ML), atmospheric modeling, computational electromagnetics (CEM), high performance computing (HPC), computer aided design (CAD) tools, meshing, thermal modeling, and more.
The main requirements are that candidates be top-notch, responsible, self-motivated, honest, able to work well independently or in small teams, and be able to rapidly learn new languages, tools, and techniques as needed to meet mission requirements.
Applicants who convey a passion for developing quality code, through listed projects, a github link, or other software development experiences, will be given preference.
This is a paid cooperative/internship learning experience.
Minimum Requirements:
  • Majoring in physics, math, electrical/mechanical/aerospace engineering, computer science, or any relevant scientific or engineering field
  • Ability to implement, understand, and maintain mathematical and scientific software libraries
  • Software development experience in C++
  • Must be available for full time employment within a year of completing this internship
  • U.S. citizen willing to undergo background investigation and perform some work at government or customer sites

Experience in any of the following is a plus:
  • Cross-platform software development on Linux and Windows
  • 3D graphics using OpenGL, Open Scene Graph, WebGL, Vulkan
  • User interface development with Qt, Java Swing, Typescript, React, MaterialUI
  • Supercomputing, CUDA, OpenMP, MPI, threads, GPU
  • Image processing, imagery analysis, computer vision, computer aided design (CAD), meshing
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Artificial Intelligence, Machine Learning
  • Modeling and simulation
  • Directed energy (lasers, microwave), thermal analysis

A representative sample of your code will be requested early in the evaluation process, e.g. something you've written for work, a school project, or for fun. It should be long enough to demonstrate your programming and software engineering skills.
About Stellar Science: We are a growing Albuquerque-based computational science company seeking talented computer programmers to create and extend exciting scientific and engineering analysis applications. We maintain high standards in all our software development efforts, utilizing modern development practices including continuous integration, test-driven development, pair programming, and code reviews in order to develop high quality, maintainable, and reusable code. By employing a lightweight development process, we remain highly productive and responsive to changing customer needs.

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