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High Performance Computing Jobs in Champaign, IL

System Software Engineer, HPC Performance

Champaign, IL · On-site

$173K - $205K/yr

Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine ...

System Software Engineer, HPC Performance

Champaign, IL · On-site

$173K - $205K/yr

Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine ...

C++ Tutor

Champaign, IL · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

High Performance Computing information

See Champaign, IL salary details

$40.1K

$99.7K

$153.7K

How much do high performance computing jobs pay per year?

As of Sep 3, 2026, the average yearly pay for high performance computing in Champaign, IL is $99,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $126,200.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are popular job titles related to High Performance Computing jobs in Champaign, IL?

For High Performance Computing jobs in Champaign, IL, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in Champaign, IL look for?

The top searched job categories for High Performance Computing jobs in Champaign, IL are:

What cities near Champaign, IL are hiring for High Performance Computing jobs?

Cities near Champaign, IL with the most High Performance Computing job openings:

Infographic showing various High Performance Computing job openings in Champaign, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $99,673 per year, or $47.9 per hour.

System Software Engineer, HPC Performance

Nvidia Corporation

Champaign, IL • On-site

$173K - $205K/yr

Full-time

Posted 9 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions.
In the Software Development Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions.
What you will be doing:
  • This position will be enhancing and expanding network hardware and software profiling tools. Implementation will be primarily in C/C++ with some Python for analysis scripting. You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions.
  • Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.
  • Be involved with the premiere multi-discipline GPU+CPU+networking profiling tool in the industry. You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems.
  • Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems. Our tools span the gamut.

What we need to see:
  • BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience).
  • Minimum of 5 years of service in a related hardware/software position.
  • Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.
  • Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems. This includes both classic HPC and cloud computing environments.

Ways to stand out from the crowd:
  • Experience with multiple architectures (x86, ARM, Power) or multiple operating systems (Windows, Linux, macOS).
  • Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.
  • Understanding of the intricacies of complex computer hardware and how that affects performance. Experience with low level hardware a major plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 29, 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.

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