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$39

$85

How much do hourly cuda jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for hourly cuda in the United States is $39.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $57.45 per hour, depending on experience, location, and employer.

What is the difference between Hourly Cuda vs Hourly Data Analyst?

AspectHourly CudaHourly Data Analyst
Required CredentialsCUDA programming certification, technical skillsDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, research labs, GPU-focused projectsBusiness, finance, healthcare, and tech industries
Employer & Industry UsageTech firms utilizing GPU computingOrganizations analyzing data for insights
Common Search & ComparisonYesYes

Hourly Cuda professionals focus on GPU programming and parallel computing, often requiring technical certifications. Hourly Data Analysts interpret data to inform business decisions, typically with a degree in related fields. While both roles involve technical skills, they serve different industry needs and environments.

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Hourly Cuda jobs near you
Infographic showing various Hourly Cuda job openings in the United States as of July 2026, with employment types broken down into 7% Locum Tenens, 20% As Needed, 7% Full Time, 52% Temporary, 13% Nights, and 1% Summer. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $81,860 per year, or $39.4 per hour.
PhD Research Intern, System Software and I/O Architecture - Fall 2026

PhD Research Intern, System Software and I/O Architecture - Fall 2026

Nvidia

Santa Clara, CA • On-site

Full-time

Posted 16 days ago

Job description

We are now looking for a PhD Research Intern with a focus in System Software and I/O Architecture!


NVIDIA is seeking Research Intern with a focus in System Software and System I/O Architecture to contribute to the development of future fast, scalable storage accesses by GPU threads. Scalable systems in a post-Moore world require co-optimization of architecture, runtime systems, operating systems, and compilers, to achieve high throughput while improving energy efficiency. We are seeking candidates with a proven track record of research excellence, systems-building experience, a broad perspective across the field of system software, inference and database GPU systems, depth in I/O system software, I/O systems architectures, deep knowledge in GPU architecture, proficiency in CUDA programming, programming large-scale clusters, and experience in profiling and system performance analysis tools. NVIDIA has pioneered programmable GPUs and the CUDA language, and is a world leader in high-performance and AI computing technology, with ambitious plans for future processors. This position offers you the opportunity to have a real impact in a multifaceted, technology-focused company.


What you'll be doing:

  • Develop novel architectures and system software implementations to enable scalable multi-GPU platforms.
  • Understand and analyze the interplay between application, operating systems, CPU and GPU architectures, and efficient algorithm designs.
  • Collaborate with a diverse set of teams across the company, spanning software research, hardware engineering, and product groups.
  • Publish original research and speak at conferences and events.

What we need to see:

  • Currently pursuing a Ph.D. in CE/CS/EE or similar program area.
  • Research experience in computer architecture, operating systems, system administration, compilers, and/or HPC.
  • Research experience designing and optimizing accelerated computing applications, with expertise in areas such as LLM inference, GPU-native database engines, and vector similarity search algorithms.
  • Demonstrated expertise in one specific area of the above topics with the ability to become the go-to resource within a team from differing backgrounds.
  • Experience with experimental computer architecture research, software infrastructure development and evaluation.
  • A track record of well-documented open-source software release.
  • Ability to work with emerging workloads such as recommender systems, graph analytics, and data frames.

Ways to stand out from the crowd:

  • Experience with C, C++, CUDA, Python, Rust, and scripting languages. MPI and NCCL would be a plus.
  • Strong interpersonal skills and being a creative and dynamic presenter is a huge advantage.
  • A strong publication, patent, presentation, and research collaboration history is highly valuable.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world working for us. If you're creative and collaborative researcher, we want to hear from you!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until June 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning
Nvidia logo

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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