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Intern C Programming Language Jobs in Champaign, IL

Experience in Scrum and other Agile Software Development methodologies is helpful Knowledge of the C/C++ programming language is helpful but not required Experience in data visualization or data ...

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Intern C Programming Language information

See Champaign, IL salary details

$13

$25

$38

How much do intern c programming language jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for intern c programming language in Champaign, IL is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.72 and $28.89 per hour, depending on experience, location, and employer.

What is the difference between Intern C Programming Language vs Intern Software Developer?

AspectIntern C Programming LanguageIntern Software Developer
Required SkillsProficiency in C, basic programming conceptsKnowledge of multiple languages, software development skills
Work EnvironmentEmbedded systems, low-level programmingApplication development, web, mobile projects
CertificationsNone typically required, but C certifications helpOften prefers computer science or software engineering background
Industry UsageEmbedded systems, firmware, hardware interfacingSoftware companies, tech startups, enterprise software

Intern C Programming Language roles focus on low-level programming and embedded systems, requiring knowledge of C. Intern Software Developer positions are broader, involving multiple languages and application development. While both roles are entry-level, their work environments and skill requirements differ significantly.

What does an intern C programming language do?

An Intern C Programming Language typically assists with software development tasks that involve writing, testing, and debugging code in the C programming language. They work under the supervision of experienced developers, contribute to ongoing projects, and may help with documentation or troubleshooting bugs. This role is ideal for students or recent graduates looking to gain hands-on experience in programming, improve their technical skills, and learn about professional software development workflows in a real-world environment.

What types of projects or tasks can an intern specializing in C programming expect to work on?

As a C programming language intern, you can expect to be involved in a variety of hands-on tasks such as debugging legacy code, writing and testing new modules, and contributing to ongoing software development projects. Interns often work closely with experienced developers, gaining exposure to code reviews and collaborating on solutions to real-world programming challenges. This role provides a valuable opportunity to deepen your understanding of low-level programming concepts and to see how C code integrates with broader system architectures. You'll also develop skills in version control and teamwork, both of which are highly valued in the software industry.

What are the key skills and qualifications needed to thrive as an intern C programming language, and why are they important?

To thrive as an Intern C Programming Language, you need a solid understanding of C syntax, algorithms, data structures, and typically coursework or a degree in computer science or a related field. Familiarity with development environments like GCC, debugging tools such as GDB, and version control systems like Git is often required. Strong problem-solving abilities, attention to detail, and the ability to communicate effectively within a team are highly valued soft skills. These competencies ensure that interns can contribute to code development, troubleshoot issues efficiently, and collaborate productively in software engineering environments.
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PhD Research Intern, System Software and I/O Architecture - Fall 2026

Nvidia

Champaign, IL • On-site

Full-time

Re-posted 16 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


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

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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