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Parallel Computing Jobs in Illinois (NOW HIRING)

Acceler8 Talent

Research Engineer

Mundelein, IL

... Parallel Computing, Model Architecture Design, Experimentation, Research Scientists, Research Engineers, Software Engineering, Backend Engineering, Performance Optimization, Production ML, AI Agents ...

Jump Trading

HPC Production Engineer

Chicago, IL

... 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+ ...

Old Mission

C++ Software Engineer

Chicago, IL · On-site

... parallel, concurrent, and multi-threaded programming • Prefer experience with low-latency computing and hardware-level design • Experience with Git, SVN, Mercurial Company : Old Mission is a ...

Jump Trading

HPC Production Engineer

Chicago, IL

$150K - $200K/yr

... 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+ ...

Jump Trading

HPC Production Engineer

Chicago, IL · On-site

$150K - $200K/yr

... 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+ ...

Old Mission

C++ Software Engineer

Chicago, IL · On-site +1

$175K - $300K/yr

Experience with parallel, concurrent, and multi-threaded programming * Prefer experience with low-latency computing and hardware-level design * Experience with Git, SVN, Mercurial Benefits and Perks

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All JobsParallel Computing JobsParallel Computing Jobs in Illinois

Parallel Computing information

See Illinois salary details

$24.2K

$50.7K

$87.7K

How much do parallel computing jobs pay per year?

As of Jun 21, 2026, the average yearly pay for parallel computing in Illinois is $50,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,800.00 and $57,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Parallel Computing Specialist, and why are they important?

To thrive as a Parallel Computing Specialist, you need strong knowledge of computer architecture, parallel algorithms, and experience with programming languages such as C/C++, Python, and frameworks like MPI or OpenMP, often supported by a degree in computer science or a related field. Familiarity with high-performance computing (HPC) environments, GPU programming (CUDA, OpenCL), and cloud-based parallel processing systems is typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills in this role. These skills are vital for efficiently designing, optimizing, and implementing solutions that leverage parallelism to significantly accelerate computational tasks.

What are some common challenges faced by professionals working in parallel computing roles?

Professionals in parallel computing often encounter challenges such as efficiently dividing complex tasks among multiple processors and minimizing communication overhead between them. Debugging and optimizing performance across parallel architectures can be difficult, as issues like race conditions and load imbalances frequently arise. Additionally, staying current with evolving hardware technologies and parallel programming frameworks is essential to ensure solutions remain efficient and scalable. Collaborating with cross-functional teams, such as data scientists and system architects, is also crucial for integrating parallel solutions into larger projects.

What is the difference between Parallel Computing vs Data Analyst?

AspectParallel ComputingData Analyst
Required CredentialsComputer Science or Engineering degree, programming skillsStatistics, Data Science, or related degree, analytical skills
Work EnvironmentResearch labs, tech companies, high-performance computing centersBusiness, finance, healthcare, corporate offices
Industry UsageTechnology, research, scientific computingBusiness intelligence, market analysis, reporting

While Parallel Computing focuses on developing algorithms to process large data sets efficiently across multiple processors, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills but serve different purposes: one enhances computational performance, the other informs business decisions.

What is parallel computing?

Parallel computing is a type of computation where many calculations or processes are carried out simultaneously, leveraging multiple processors or computers to solve complex problems more efficiently. It divides large tasks into smaller ones that can be executed concurrently, significantly speeding up processing time. Commonly used in scientific research, data analysis, and engineering, parallel computing is essential for handling large-scale simulations and big data applications.
What are popular job titles related to Parallel Computing jobs in Illinois? For Parallel Computing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Parallel Computing jobs in Illinois look for? The top searched job categories for Parallel Computing jobs in Illinois are:
Parallel Computing jobs near you
Infographic showing various Parallel Computing job openings in Illinois as of June 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $50,738 per year, or $24.4 per hour.

Sr Infrastructure Engineer

Bright Mind Solutions LLC

Chicago, IL • On-site

$45 - $48/mo

Contractor

Posted 25 days ago

Job description

Prefer someone local
conversion salary is $120K range
 
6-12 months contract to hire in Chicago, IL
 

Job Title: Senior HPC Infrastructure Engineer
Primary Location: Chicagoland, Hybrid with minimum of 2 days in-office.
Position Type: 12 mos. Contract with Contract-to-Hire potential.
Overview
client is casting a line for a Sr. HPC Infrastructure Engineer! This is a 12 mos. contract with potential to convert to FTE opportunity. This position plays a key role in supporting the design, deployment, and optimization of high-performance computing (HPC) infrastructure— both on-prem and in cloud environments. This role combines deep technical system expertise with hands-on administration to ensure scalable, reliable, and secure environments for advanced scientific research and computational workloads.
What You Bring to the Role (Ideal Experience)
• Strong background in Linux/Unix system administration
• Experience designing and supporting HPC clusters in research, academic, or scientific computing environments
• Proficiency with parallel computing frameworks such as MPI and OpenMP
• Familiarity with job scheduling/resource management systems (e.g., Slurm, Torque, PBS)
• Hands-on experience with high-speed interconnects (e.g., InfiniBand, Omni-Path)
• Strong understanding of networking, storage solutions, and system performance tuning
• Experience with backup, disaster recovery, and data integrity solutions in high-performance environments
• Fluency in scripting (e.g., Bash, Python)
• Strong troubleshooting skills and collaborative communication style
• Bachelor's degree in Computer Science, Engineering, or equivalent experience (Master's preferred)
• Relevant technical certifications (e.g., Red Hat, CompTIA Linux+) are a plus
What You'll Do (Skills Used in this Position)
• Design, deploy, and manage scalable HPC systems across both cloud and on-prem environments
• Define system requirements and optimize Linux-based systems for performance, reliability, and scalability
• Maintain, monitor, and patch HPC environments to ensure high availability and security
• Design and manage high-performance storage systems with robust backup, replication, and archival strategies
• Conduct benchmarking and performance tuning, collaborating with HPC operations to resolve bottlenecks
• Partner with cybersecurity teams to ensure compliance and security in HPC environments
• Maintain technical documentation, SOPs, and troubleshooting guides
• Provide end-user training and technical support, managing on-site computing technologies
• Contribute to overall operational efficiency through team collaboration and continual improvement initiatives

If you are interested or have any references please share resume at mukul@brightmindsol.com.