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Internship Cuda Programmer Jobs (NOW HIRING)

Intel

AI Software Engineering Intern

Phoenix, AZ · On-site

Graphics experience (GPU / CUDA) Requirements listed would be obtained through a combination of ... Internship length: 6 - 12 m Job Type:Student / Intern Shift:Shift 1 (United States of America ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

$20/hr

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

iSoftStone

Associate AI Developer

White Plains, NY

$20/hr

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

iSoftStone

Associate AI Developer

White Plains, NY · On-site

Up to 2 years of practical experience (internships, co-ops, or substantial academic/personal ... AWS (Bedrock, SageMaker), Azure (AI Foundry/AI Studio, Azure OpenAI), NVIDIA (CUDA, NIM, Triton ...

Atoms

Staff Machine Learning Engineer

San Francisco, CA · On-site

... CUDA) to minimize inference times under strict constraints. • Architect automated pipelines to ... Required : • 10+ years of non-internship professional MLE experience. • Deep expertise in ...

Atoms

Staff Machine Learning Engineer

San Francisco, CA · On-site

... CUDA) to minimize inference times under strict constraints. • Architect automated pipelines to ... Required : • 10+ years of non-internship professional MLE experience. • Deep expertise in ...

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How much do internship cuda programmer jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for internship cuda programmer in the United States is $39.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $57.45 per hour, depending on experience, location, and employer.

What is the difference between Internship Cuda Programmer vs Cuda Developer?

AspectInternship Cuda ProgrammerCuda Developer
CredentialsEnrolled in or recent graduate of Computer Science or related fieldBachelor's or higher in Computer Science, with experience in CUDA programming
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, developing complex GPU-accelerated applications
Industry UsageResearch labs, tech companies, internships for skill developmentTech firms, gaming, scientific computing, high-performance computing

While an Internship Cuda Programmer is typically a learning position for students or recent graduates gaining foundational experience, a Cuda Developer is a full-time professional responsible for designing and optimizing GPU-accelerated software. The roles differ mainly in experience level, responsibilities, and career stage, but both require knowledge of CUDA programming and GPU architecture.

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Internship Cuda Programmer jobs near you
Senior Math Libraries Engineer - AI and HPC

Senior Math Libraries Engineer - AI and HPC

NVIDIA

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 28 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Job Summary:
NVIDIA is a leading technology company seeking a Senior Math Libraries Engineer to join their Math Libraries team. The role involves developing high-quality numerical dense linear algebra software on GPUs, providing technical leadership, and collaborating with product management to understand feature requirements.
Responsibilities:
• Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.
• Owning the execution of projects involving multiple engineers and sometimes teams.
• Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.
• Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries.
• Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.
• To be successful in your responsibilities which are by nature sophisticated, you will need to find and explain complex solutions, exercise leadership, and coordinate with multiple teams to work towards your goals.
Qualifications:
Required:
• PhD, Master’s, or Bachelor's degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).
• 8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++.
• Strong fundamentals in kernel generation and composable library design for linear algebra.
• Leadership skills in driving software development projects.
• Strong collaboration, communication, and documentation habits.
• Kernel generation. JIT focus/experience desired
Preferred:
• Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.
• Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture.
• Experience with low level programming using assembly for performance optimization and operator fusion is a huge plus.
• Experience with agile software development practices using project management tools such as JIRA.
• A scripting language, preferably Python.
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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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