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High Performance Computing Jobs in Chicago, IL (NOW HIRING)

Aquatic Capital Management

Systems Engineer

Chicago, IL · On-site

$150K - $300K/yr

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 ...

Aquatic Capital Management

Systems Engineer

Chicago, IL

$150K - $300K/yr

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 ...

The University of Chicago

HPC Systems Engineer

Chicago, IL · 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 ...

TalentWave

Network Software Engineer

Chicago, IL · On-site

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

VAST Data

District Manager - Financials

Chicago, IL · On-site

Strong understanding of enterprise data architecture, AI infrastructure, storage, cloud, and high-performance computing environments * Experience partnering with channels, strategic alliances, and ...

People 2.0

Network Software Engineer

Chicago, IL · On-site

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

TalentWave

Network Software Engineer

Chicago, IL

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

VAST Data

District Manager - Financials

Chicago, IL · On-site

Strong understanding of enterprise data architecture, AI infrastructure, storage, cloud, and high-performance computing environments * Experience partnering with channels, strategic alliances, and ...

TalentWave

Network Software Engineer

Chicago, IL

Experience with high-performance computing, scalable memory allocation, and/or task scheduling * Knowledge of high-performance programming language such as C++ or Golang * Excellent ability to ...

Infleqtion

Senior Embedded Software Engineer

Chicago, IL · On-site

$127K - $167K/yr

A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC). * Demonstrated experience owning ...

Infleqtion

Senior Embedded Software Engineer

Chicago, IL

$127K - $167K/yr

A degree (PhD preferred) in Computer Engineering, Electrical Engineering, Computer Science, or related field with experience in high-performance computing (HPC). * Demonstrated experience owning ...

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High Performance Computing information

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$41.2K

$102.5K

$158.1K

How much do high performance computing jobs pay per year?

As of Jun 11, 2026, the average yearly pay for high performance computing in Chicago, IL is $102,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,800.00 per year, depending on experience, location, and employer.

What are the career opportunities in high performance computing?

Career opportunities in high performance computing (HPC) include roles such as HPC system administrators, computational scientists, software developers, and data analysts. These positions often require skills in parallel programming, Linux systems, and knowledge of HPC tools like MPI and CUDA, with certifications and experience in managing large-scale computing environments being advantageous.

What are the typical responsibilities of someone working in High Performance Computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What engineers make $500,000?

High Performance Computing engineers, especially those with advanced skills in parallel programming, system architecture, and experience with supercomputers or cloud HPC environments, can reach salaries of $500,000 or more, often in senior or specialized roles. Such compensation typically includes base salary, bonuses, and stock options, and is common in industries like aerospace, defense, and large tech companies.

What is the highest paid job in computing?

In high performance computing, roles such as HPC Director, Chief Technology Officer, or senior research scientists often have the highest salaries, especially with advanced skills in parallel programming, system architecture, and large-scale data management. These positions typically require extensive experience, leadership abilities, and often advanced degrees or certifications.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

What is a High Performance Computing job?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What is high performance in computing?

High performance in computing refers to systems or applications that deliver rapid processing speeds and handle large-scale computations efficiently. High Performance Computing (HPC) jobs often utilize parallel processing, specialized hardware like supercomputers or clusters, and optimized software to solve complex problems in fields such as scientific research, engineering, and data analysis.
What are the most commonly searched types of High Performance Computing jobs in Chicago, IL? The most popular types of High Performance Computing jobs in Chicago, IL are:
What are popular job titles related to High Performance Computing jobs in Chicago, IL? For High Performance Computing jobs in Chicago, IL, the most frequently searched job titles are:
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What cities near Chicago, IL are hiring for High Performance Computing jobs? Cities near Chicago, IL with the most High Performance Computing job openings:
High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $102,528 per year, or $49.3 per hour.
Systems Engineer

Systems Engineer

Aquatic Capital Management

Chicago, IL • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world's most competitive arenas-global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence.
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.
Benefits:
  • Benefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance
  • Perks: Wellness programs, casual dress, snacks, lunch, game room, team and company events
  • Development: Open environment to maximize learning and knowledge sharing
  • Time: Generous PTO, paid holidays, competitive paid caregiver leaves

Aquatic Capital
This role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm's culture will be shaped by collaboration, meritocracy, ambition, and calm determination.
Aquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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