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Internship Cuda Programmer Jobs (NOW HIRING)

NVIDIA

Senior Deep Learning Compiler Engineer

Redmond, WA · On-site

$117K - $160.70K/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 ...

NVIDIA

Senior Deep Learning Compiler Engineer

Santa Clara, CA · On-site

$122.70K - $168.50K/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 ...

NVIDIA

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103.60K - $142.20K/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 ...

Nvidia

OR

$104.40K - $143.40K/yr

CUDA or OpenCL programming experience is desired but not required. * Experience with the following ... A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd:

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How much do internship cuda programmer jobs pay per hour?

As of May 31, 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
Infographic showing various Internship Cuda Programmer job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 1% Part Time, 3% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $82,919 per year, or $39.9 per hour.
Machine Learning Infrastructure Engineer Intern

Machine Learning Infrastructure Engineer Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Internship

Retirement

Posted 16 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Responsibilities:
  • Identify Training Bottlenecks: Profile and analyze Bird's Eye View (BEV) model training pipelines to pinpoint computational and memory bottlenecks.
  • Develop Custom Kernels: Design and implement high-performance custom compute kernels using CUDA, Triton, or C++ to accelerate the model training process.
  • Leverage LLMs for Optimization: Explore and integrate Large Language Models (LLMs) to assist in generating high-performance code and optimizing kernel logic.
  • Automate Profiling Workflows: Build systems to automate performance profiling and analysis using tools like NVIDIA Nsight and the PyTorch Profiler.
  • Iterative Performance Tuning: Continuously analyze profiling data generated by both human and LLM-assisted workflows to maximize GPU utilization and reduce training times.

Required Skills:
  • Systems Programming: Strong proficiency in C++ and a solid understanding of memory management, computer architecture, and parallel processing principles.
  • Deep Learning Frameworks: Hands-on experience with PyTorch, specifically understanding custom operations, autograd, and training loops.
  • Performance-Oriented Mindset: Strong problem-solving skills with a deep interest in performance tuning, algorithmic efficiency, and low-level system optimization.

Preferred Skills:
  • GPU Programming Experience: Practical experience writing and optimizing custom GPU kernels using CUDA or OpenAI Triton.
  • Hardware Profiling Tools: Familiarity with hardware and software profiling tools, particularly NVIDIA Nsight (Systems/Compute) and the PyTorch Profiler.
  • LLM for Code Generation: Experience using or prompting LLMs for code writing, refactoring, or exploring AI-assisted software development workflows.
  • Autonomous Vehicle Perception: A foundational understanding of Bird's Eye View (BEV) models, 3D perception, or spatial transformers used in autonomous driving.

$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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