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High Performance Computing Hpc Jobs in Illinois (NOW HIRING)

University of Utah

Program Assistants

Campus, IL · On-site

$17 - $19/hr

... with high-performance computing (HPC), research computing, ML/AI, and other related domains. Candidates selected for this position who are active students will be encouraged to prioritize their ...

YO AI Labs

GPU Programming Expert - Remote

Chicago, IL · Remote

$60 - $85/hr

... performance optimization, and C++ development to build high-performance solutions. Key ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

University of Utah

Program Assistants

Campus, IL

$17 - $19/hr

... with high-performance computing (HPC), research computing, ML/AI, and other related domains. Candidates selected for this position who are active students will be encouraged to prioritize their ...

University of Utah

Program Assistants

Campus, IL

$17 - $19/hr

... with high-performance computing (HPC), research computing, ML/AI, and other related domains. Candidates selected for this position who are active students will be encouraged to prioritize their ...

YO AI Labs

GPU Programmer - Remote

Chicago, IL · Remote

$60 - $85/hr

... performance optimization, and C++ development to build high-performance solutions. Key ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

Parallel Works

Senior HPC Applications Engineer

Chicago, IL · On-site

$140 - $190/hr

... for high performance computing and AI. Our customers run large scientific and AI workloads across ... About the role Parallel Works is hiring a Senior HPC Applications Engineer to own the software ...

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High Performance Computing Hpc information

See Illinois salary details

$31.5K

$66.1K

$108.5K

How much do high performance computing hpc jobs pay per year?

As of Sep 5, 2026, the average yearly pay for high performance computing hpc in Illinois is $66,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $80,400.00 per year, depending on experience, location, and employer.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are popular job titles related to High Performance Computing Hpc jobs in Illinois?

For High Performance Computing Hpc jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching High Performance Computing Hpc jobs in Illinois look for?

The top searched job categories for High Performance Computing Hpc jobs in Illinois are:

High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $66,135 per year, or $31.8 per hour.

System Software Engineer, Multi-Node Analysis

Nvidia

Champaign, IL

$173K - $205K/yr

Full-time

Posted 12 days ago

Key responsibilities

  • Enhance and expand advanced analysis tools for system-wide profiling, primarily using Python and occasionally C++.

  • Collaborate with cross-functional teams to explore problems, develop solutions, write functional requirements, and deliver multi-functional software solutions.

  • Build software tools that enable developers to optimize workflows across various markets, including HPC, Machine Learning, Deep Learning, AI, and embedded systems.

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 advanced analysis tools for our system-wide profiling tools. Implementation will be primarily in Python, with a strong need for C++ from time to time. 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 complex analysis solutions for large data systems. This can include both classic HPC and cloud computing environments as well as large data sets from non-network cases.

Ways to stand out from the crowd:

  • Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.

  • Understanding of the intricacies of large scale data systems and data handlers. Experience with multiple data handling packages. Familiarity with Arrow/Parquet, Pandas DataFrames, and ClickHouse of particular interest.

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 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.

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

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