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Parallel Computing Jobs in Illinois (NOW HIRING)

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

Auria

Systems Engineer

Chicago, IL · On-site

$95K - $130K/yr

Distributed/parallel/cloud computing (SOA, virtualization) * Scripting experience (e.g. Python) * XML * SQL, relational database design * Cesium Salary Pay transparency: $95,000 - $130,000 Benefits

Gehc

Director of Engineering, Architecture

Chicago, IL

$164K - $246K/yr

Knowledge of GPU computing (CUDA or equivalent), parallel processing, and high-performance computing. * Experience with AI-enabled imaging capabilities such as image segmentation, image enhancement ...

Aeris

Senior Project Manager

Chicago, IL · On-site

... parallel, showcasing an ability to prioritize tasks and allocate resources efficiently. • ... computing, containerization, and microservices. • Fluent in English, with the ability to ...

Akuna Capital

$145K/yr

Experience with generic and/or parallel programming * Deeper understanding of any of the following ... computing * The ability to react quickly and accurately to rapidly changing market conditions ...

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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 Sep 13, 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.

Systems Engineer

Chicago, IL

Aquatic Capital Management
Finance and Insurance • 11 - 50 employees
Learn more about Aquatic Capital Managementexternal

$150K - $300K/yr

Full-time

Re-posted 8 days ago

Job description

Aquatic Capital Management is seeking a Systems Engineer to join our team.  

Systems Engineer

Infrastructure & Research Computing

Aquatic Capital Management    Chicago, IL    Full-Time

About the Role

  • We are hiring a Systems Engineer to join our Infrastructure team. This is a senior individual contributor role with significant architectural ownership, and real accountability for how our research and trading systems compute.
  • You will own and evolve the compute infrastructure that powers quantitative research and production trading at Aquatic: our on-premise grid, hybrid cloud compute (GCP and AWS), GPU workloads, storage systems, and the automation that ties it all together.

What You Will Do

Grid & High-Performance Computing

  • Own and evolve Aquatic's Slurm and Ray cluster infrastructure across on-prem and GCP - supporting research and trading workloads including fitting, tuning, backtesting, feature computation, and market data processing.
  • Drive architectural improvements to capacity, scheduling efficiency, and throughput across the full footprint, including GPU computation. 
  • Design and maintain the connectivity and automation between on-prem and cloud environments
  • Evaluate and implement newer compute paradigms as research needs evolve 

Storage & Performance

  • Own high-performance storage systems including VAST (NFS and S3-compatible), ensuring data access is fast and reliable across research, trading, and build workloads.
  • Investigate and resolve performance bottlenecks at the intersection of storage, network, and compute.

Developer Experience & Automation

  • Design and maintain provisioning systems for complex compute resources and datacenter onboarding.
  • Own and improve CI/CD infrastructure (GitHub Actions) as well as the development toolchain for the broader engineering organization.

Technical Leadership & Mentorship

  • Serve as the go-to architect for infrastructure decisions; provide technical direction and help establish vision across the team.
  • Pair with and mentor earlier-career Systems & Software Engineers, helping them develop sound instincts and grow their skills.
  • Diagnose and resolve the hardest, most obscure system issues that others cannot get to the bottom of.

What We Are Looking For

Required

  • 10+ years of experience in systems engineering, infrastructure, or a closely related discipline.
  • Deep Unix/Linux expertise across multiple distributions; comfortable at every layer of the stack.
  • Strong experience with HPC grid systems (SLURM preferred) in a research or scientific computing environment.
  • Experience provisioning and managing bare-metal infrastructure and data centers, not just cloud-native environments.
  • Familiarity with high-performance / parallel storage systems (VAST, GPFS, Lustre, or similar).
  • Strong scripting and automation fluency (Bash, Python, or similar); able to build tools that others rely on and to contribute to and own production codebases.
  • Ability to operate as an independent technical leader: establishing direction, building trusted relationships, and communicating clearly with stakeholders outside the team.

Strongly Preferred

  • Experience with distributed compute frameworks such as Ray, Dask, or Spark in a research context.
  • Low-level systems programming on Linux using C/C++, with a focus on performance and reliability.
  • Experience with GPU computation and instrumenting GPU utilization for ML/research workloads.
  • Hands-on experience building and operating cloud infrastructure on GCP (or comparable major cloud), including autoscaling compute clusters.
  • Strong networking fundamentals; able to design and troubleshoot complex network topologies including cloud interconnects.
  • Background working alongside quantitative researchers or software engineers in a trading, finance, or research-intensive organization.

What Makes You Stand Out

  • You have an architectural mindset: you think about how systems will fail before they do, and you build for stability and operational simplicity.
  • You are energized by the intersection of systems and the people who use them. You want researchers and engineers to have great tools, not just working ones.
  • You are a patient, generous mentor. You grow the people around you.
  • You are direct, give well-reasoned dissenting opinions when you have them, and do not let ideas roll by unchallenged when you see a better path.

The base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.

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