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Parallel Computing Jobs in Illinois (NOW HIRING)

P2P

HPC Systems Engineer

Chicago, IL · On-site

$150 - $200/hr

... 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 Systems Engineer

Chicago, IL

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 ...

Jump Trading

HPC Systems Engineer

Chicago, IL · On-site

$150K - $200K/yr

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 ...

Accenture

AI & HPC Infrastructure Engineer

Chicago, IL · On-site

$110K - $145K/yr

Design and implement AI infrastructure and accelerated computing solutions, aligning system ... parallel file systems, VAST, Weka, or DDN. * Minimum of 5+ years of experience with cluster ...

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

Aquatic Capital Management

Systems Engineer

Chicago, IL

$150K - $300K/yr

... computing environment. * Experience provisioning and managing bare-metal infrastructure and data centers, not just cloud-native environments. * Familiarity with high-performance / parallel storage ...

Aquatic Capital Management

Systems Engineer

Chicago, IL · On-site

$150K - $300K/yr

... computing environment. * Experience provisioning and managing bare-metal infrastructure and data centers, not just cloud-native environments. * Familiarity with high-performance / parallel storage ...

Old Mission

C++ Software Engineer

Chicago, IL · On-site

$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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Showing results 21-40

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 Aug 23, 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 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 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 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 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.

Is parallel computing hard?

Parallel computing as a job involves designing and managing systems that perform multiple calculations simultaneously, which requires strong problem-solving skills, knowledge of algorithms, and proficiency with programming tools like MPI or OpenMP. The difficulty depends on the complexity of tasks and the level of expertise, but it generally involves understanding concurrency, synchronization, and performance optimization. Gaining experience through coursework, certifications, and hands-on projects can help reduce the learning curve.

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 August 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 100% In-person job distribution, with an average salary of $50,738 per year, or $24.4 per hour.

Postdoctoral Appointee-Developing an Exascale MuPhFASa (Multi Phase Flow Adaptive Simulator)

Argonne National Laboratory

Lemont, IL • On-site

$72K - $121K/yr

Full-time

Re-posted 7 days ago

Job description

The Argonne Leadership Computing Facility's (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world's largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.

The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures and facilities. Additionally, the CPS provides an interdisciplinary home for spawning simulation programs and projects, often in collaboration with the ALCF.

The ALCF and CPS division are seeking a postdoctoral appointee to develop computational fluid dynamic (CFD) tools that make exascale computing accessible to a broader set of users. The successful candidate will develop a massively parallel solver, capable of running simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go beyond traditional error estimators, creating physics-based adaptation algorithms that intelligently predict where refinement will be most beneficial for smarter, more efficient simulations. We seek someone with a strong CFD background and LBM expertise who can develop methodologies broad enough to tackle a diverse set of problems, appealing to a wide range of computational science users. Example problems are: bubbly flow, emulsions, sedimentation, wetting, gas-mixing, red-blood cell flow in the human vasculature. We are seeking a candidate who is intellectually curious and enthusiastic about computational research. They are intrinsically driven, goal-oriented, and can work collaboratively with others.

Working closely with the CPS divison, the postdoc will leverage AMReX and the LBM to develop an integrated framework to explore advanced workloads including simulations with in-situ visualization and, possibly, machine learning integration. This work will inform future ALCF platform procurement decisions.

Position Requirements

Required Skills:

  • Recent or soon-to-be-completed Ph.D. (typically completed in the last 5 years) in mechanical/aerospace/chemical engineering, applied mathematics or a related discipline.
  • Experience in numerical methods and CFD development using mesh-based scientific codes.
  • Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications
  • High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library
  • Proficiency in writing code with C, C++ and/or Python
  • Ability to demonstrate strong written and oral communication skills
  • Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.

Desired Skills:

  • Experience with two-phase/multi-phase flows as evidenced by their publications
  • Experience programming GPUs with CUDA, SYCL, HIP or OpenMP
  • Experience using and developing code with AMReX
  • Experience in performance engineering to improve code scalability and reduce time-to-solution

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full timeThe expected hiring range for this position is $72,879.00-$121,465.00.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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