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High Performance Computing Hpc Jobs in Illinois (NOW HIRING)

Our global High Performance Computing Team is looking to add a Production Engineer in our Chicago ... Collaborate directly with researchers to optimize their use of HPC infrastructure * Develop and ...

HPC Production Engineer

Chicago, IL ยท On-site

$150K - $200K/yr

Our global High Performance Computing Team is looking to add a Production Engineer in our Chicago ... Collaborate directly with researchers to optimize their use of HPC infrastructure * Develop and ...

HPC Systems Engineer

Chicago, IL ยท On-site

$95K - $110K/yr

It is dedicated to enabling research by providing access to centrally managed High-Performance Computing (HPC), storage, and visualization resources. These resources include hardware, software, high ...

Our high-performance computing platforms sit at the core of this capability, supporting large-scale simulation, research, and machine learning workloads across the firm. We're looking for an HPC ...

HPC Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

Our high-performance computing platforms sit at the core of this capability, supporting large-scale simulation, research, and machine learning workloads across the firm. We're looking for an HPC ...

HPC Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

Our high-performance computing platforms sit at the core of this capability, supporting large-scale simulation, research, and machine learning workloads across the firm. We're looking for an HPC ...

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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 Jun 28, 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 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 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 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, and why are they important?

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 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:
Infographic showing various High Performance Computing Hpc job openings in Illinois as of June 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Nights. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution, with an average salary of $66,135 per year, or $31.8 per hour.
HPC Production Engineer

HPC Production Engineer

Jump Trading

Chicago, IL โ€ข On-site

Other

Posted 10 hours ago


Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our global High Performance Computing Team is looking to add a Production Engineer in our Chicago office. The scale of our computing environments provides unique challenges in providing good performance and reliability. Several systems including compute, scheduling, networks, and large-scale data storage must integrate seamlessly to support data pipelines and quantitative research. The ideal candidate would be a hands-on individual, highly skilled in the details and nuances of managing Linux environments with a strong software development background necessary to support uniquely customized systems at scale.ย 

What You'll Do:

  • Design, implement, maintain, and support high performance compute and storage systems
  • Implement and support performance monitoring and fault monitoring systems
  • Monitor systems and storage performance, up to and including network components
  • Build tooling to compile, package, install, and upgrade software and operating system components at scale
  • Collaborate with team members and across teams to write code and testing infrastructures spanning both new and existing codebases in multiple programming languages
  • Develop and improve systems and user documentation
  • Participate in large, coordinated maintenance operations, including during evenings and weekends.
  • Work on global projects across a wide range of infrastructure
  • Collaborate directly with researchers to optimize their use of HPC infrastructure
  • Develop and monitor the tools used to maintain a production computing environment
  • Provide operational support on a rotating basis and as needed
  • Manage relationships with outside vendors, including traveling both domestically and internationally to meet with current and potential vendors
  • Adhere to all company cybersecurity and IT policies, including performing all work using only approved hardware and software Other duties as assigned or needed

Skills You'll Need:

  • 5+ years of professional experience in high performance computing (HPC), including parallel filesystems (e.g., Lustre, GPFS), batch systems (e.g., Slurm, Grid Engine), and high-performance network interconnects experience is a plus, but not required
  • 5+ years of experience with Linux systems administration
  • High proficiency with at least one programming/scripting language (e.g., Go, Python, C)
  • Extensive experience designing, building, and maintaining complicated, interdependent, and distributed systems
  • Extensive experience profiling and debugging application stacks (debuggers and profilers)
  • Experience with system configuration management tools (SaltStack, Ansible, Puppet, etc.)
  • A compulsion to perform root cause analysis
  • Reliable and predictable availabilityย 

If you are currently a student or recent graduate, please see our Campus postings which offer both intern and full-time opportunities.