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Cuda Developer Jobs in Illinois (NOW HIRING)

Nvidia

Principal Systems Software Engineer

Champaign, IL

$135K - $181K/yr

Develop Java, Scala and CUDA/C++ libraries to accelerate DataFrames and I/O operations on common ... Excellent programming skills in C++, Java, and/or Scala * Ability to work with teams across ...

Infleqtion

Senior Embedded Software Engineer

Chicago, IL · On-site

$127K - $167K/yr

The engineer will also serve as a point-of-contact (POC) for subsystem hardware integration with ... Familiary with NVIDIA CUDA-Q * Direct experience with NVIDIA Holoscan Sensor Bridge, RDMA over ...

Infleqtion

Senior Embedded Software Engineer

Chicago, IL · On-site

$127K - $167K/yr

Familiarity with GPU programming models (CUDA or equivalent) at a systems level. WE HIGHLY VALUE: * Highperformance computing (HPC) systems design or deployment. * Familiary with NVIDIA CUDA-Q

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$46.5K

$108.4K

$160.9K

How much do cuda developer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for cuda developer in Illinois is $108,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,200.00 and $126,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda Developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda Developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda Developer job?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are the most commonly searched types of Cuda Developer jobs in Illinois? The most popular types of Cuda Developer jobs in Illinois are:
What are popular job titles related to Cuda Developer jobs in Illinois? For Cuda Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Cuda Developer jobs in Illinois look for? The top searched job categories for Cuda Developer jobs in Illinois are:
Cuda Developer jobs near you
Infographic showing various Cuda Developer job openings in Illinois as of July 2026, with employment types broken down into 82% Full Time, 5% Part Time, 9% Temporary, 2% Contract, and 2% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $108,381 per year, or $52.1 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

Champaign, IL

Full-time

Posted 2 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 245 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

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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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