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Parallel Computing Jobs in Illinois (NOW HIRING)

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+ ...

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+ ...

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

ComEd

Mgr Data Science

Oak Brook, IL · On-site

Possess an advanced knowledge of predictive modeling techniques, and prior exposure with high-performance computing technologies. Use your skills to manage several projects running in parallel.

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Parallel Computing information

See Illinois salary details

$24.2K

$50.7K

$87.7K

How much do parallel computing jobs pay per year?

As of Jul 11, 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.

Is parallel computing difficult?

Parallel computing as a job involves designing and implementing systems that perform multiple tasks 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 projects and the individual's experience, but mastering parallel algorithms and debugging concurrent processes can be challenging for beginners. Continuous learning and practical experience are essential for success in this field.

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 highest paying job in computing?

In computing, roles such as Chief Technology Officer (CTO), Solutions Architect, and Data Science Director tend to be among the highest paying, often earning six-figure salaries. Specialized skills in areas like artificial intelligence, cybersecurity, and cloud computing can also command top compensation levels for experienced professionals.

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 engineers make $500,000?

Senior engineers in fields such as software, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership roles.

What is an example of parallel computing in real life?

Parallel computing in a job context involves tasks like processing large datasets or simulations simultaneously across multiple processors or cores to improve efficiency. For example, data analysts may use parallel computing tools to analyze big data sets quickly, requiring knowledge of programming languages such as Python or C++ and familiarity with parallel processing frameworks like MPI or OpenMP.
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
Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Senior GenAI & High Performance Computing (HPC) Delivery Engineer

Dell, Inc.

Springfield, IL • On-site, Remote

$145K - $199K/yr

Full-time

Posted 18 days ago

Job description


Senior GenAI & High Performance Computing (HPC) Delivery Engineer
Dell Technologies has delivered HPC solutions for 25+ years, including support for Bright Cluster Manager (now NVIDIA BCM) since 2011. Today, Dell is NVIDIA's preferred partner for GenAI Factory systems, using Dell GenAI PowerEdge XE servers and NVIDIA NVAIE to help customers build and scale end to end GenAI and High-Performance Computing environments.
Join us to do the best work of your career and make a profound social impact as a Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, Texas or Remote United States. 50-70 % National Travel.
What you'll achieve
We're seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands on and customer facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions.
You will work as a part of a team to help build, integrate, and test some of the world's largest multi GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure.
You will:
• Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus)
• Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools
• Produce as-built documentation, performance reports, and share best practices amongst the team.
• Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads
• Work directly with customers onsite (travel both regionally and across the U.S.)
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements
• 7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields
• Deep hands on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager
• Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks
• Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience
• Experience with GenAI/HPC networking (InfiniBand and/or RoCE)
• Experience working in Linux based parallel computing environments at scale
• Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm)
• Ability to travel up to 70% of the time across the U.S. as needed for projects
• Strong customer facing and communication skills
Desirable Requirements
• Bachelor's degree
• NVIDIA certifications (NCA, NCE, DGX)
• Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics
• Exposure to hybrid cloud or GPU cloud environments
• Experience with GPU observability/performance profiling tools
Compensation
Dell is committed to fair and equitable compensation practices. The salary range for this position is $145,000 to $199,100.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com
About Us
Who We Are
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy.
Visit our Culture Code page to learn more about how we work and lead.
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About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984

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