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Hpc Performance Engineer Jobs in Chicago, IL (NOW HIRING)

... performance computing and AI. Our customers run large scientific and AI workloads across their own ... About the role Parallel Works is hiring a Junior HPC Systems Engineer to learn supercomputing ...

... performance computing and AI. Our customers run large scientific and AI workloads across their own ... About the role Parallel Works is hiring a Junior HPC Systems Engineer to learn supercomputing ...

Driving architecture trade-offs and decisions across performance, scalability, reliability ... Facilitating client workshops and technical reviews and translating engineering detail into ...

Senior HPC Systems Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

... performance computing and AI. Our customers run large scientific and AI workloads across their own ... About the role Parallel Works is hiring a Senior HPC Systems Engineer to build and run the clusters ...

Senior HPC Systems Engineer

Chicago, IL · On-site

$107K - $147K/yr

... performance computing and AI. Our customers run large scientific and AI workloads across their own ... About the role Parallel Works is hiring a Senior HPC Systems Engineer to build and run the clusters ...

Senior HPC Systems Engineer

Chicago, IL · Remote

$107K - $146K/yr

... performance computing and AI. Our customers run large scientific and AI workloads across their own ... About the role Parallel Works is hiring a Senior HPC Systems Engineer to build and run the clusters ...

Showing results 21-40

Hpc Performance Engineer information

See Chicago, IL salary details

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How much do hpc performance engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for hpc performance engineer in Chicago, IL is $61.92, according to ZipRecruiter salary data. Most workers in this role earn between $50.77 and $70.10 per hour, depending on experience, location, and employer.

What is an HPC performance engineer?

HPC Performance Engineers are specialists who focus on optimizing the performance of high-performance computing (HPC) systems and applications. They analyze system bottlenecks, tune software and hardware configurations, and work with researchers and developers to ensure applications run efficiently on supercomputers or large computing clusters. Their work is essential for maximizing computational resources and improving the speed and scalability of scientific, engineering, or data-intensive workloads.

What are the key skills and qualifications needed to thrive as an HPC performance engineer?

To thrive as an HPC Performance Engineer, you need a strong background in computer science or engineering, with expertise in parallel programming, high-performance computing architectures, and performance analysis. Familiarity with tools like MPI, OpenMP, profiling software (e.g., Intel VTune, GNU gprof), and experience with job schedulers and Linux systems are essential. Analytical thinking, problem-solving, and effective communication are crucial soft skills for identifying bottlenecks and collaborating with multidisciplinary teams. These skills are vital for optimizing computational workflows, maximizing resource utilization, and driving efficiency in complex HPC environments.

What are the typical challenges HPC performance engineers face when optimizing large-scale computational workloads?

HPC Performance Engineers often encounter challenges such as identifying bottlenecks in parallel code, managing resource contention, and optimizing data movement across distributed systems. They must balance maximizing throughput with minimizing latency, all while ensuring applications scale efficiently as cluster sizes grow. Collaboration with software developers, system administrators, and research teams is common to align application requirements with hardware capabilities and to implement effective performance improvements.

What is the difference between Hpc Performance Engineer vs Hpc System Administrator?

AspectHpc Performance EngineerHpc System Administrator
Primary FocusOptimizing HPC system performance and efficiencyManaging and maintaining HPC infrastructure
Skills & CertificationsPerformance tuning, parallel computing, Linux, scriptingSystem setup, network management, user support
Work EnvironmentResearch labs, data centers, high-performance computing facilitiesData centers, IT departments, research institutions
Common TasksPerformance analysis, bottleneck resolution, code optimizationSystem installation, user account management, hardware troubleshooting

The Hpc Performance Engineer focuses on enhancing system performance and efficiency, often working on optimization and tuning. In contrast, the Hpc System Administrator manages the day-to-day operation and maintenance of HPC systems. Both roles are essential in high-performance computing environments but serve different core functions.

Junior HPC Systems Engineer

Chicago, IL • Remote

Parallel Works
Software Development • 1 - 10 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

About Parallel Works

Parallel Works builds and operates ACTIVATE, a control plane for high performance computing and AI. Our customers run large scientific and AI workloads across their own on-premises clusters, Government and commercial cloud, and commercial GPU providers, and ACTIVATE gives them one way in to all of it. The high security boundary is authorized at Impact Level 5, with FIPS validated cryptography and STIG hardening throughout.

The work reaches most fields that depend on computing at scale: weather and climate forecasting, defense and intelligence programs, aerospace and structural analysis, molecular and materials science, energy, and AI research. A quarter here can include standing up a GPU cluster for one of those communities, federating a laboratory's existing on-premises system with burst capacity it did not have before, and getting a domain code written decades ago to run on current hardware.

Customer success sets our priorities. We are a small engineering company, so engineers here work directly with the people using the systems and carry a problem from the first report through to the fix. This is what we call mission engineering: understanding what a customer is trying to accomplish and why the computing matters to it.

About the role

Parallel Works is hiring a Junior HPC Systems Engineer to learn supercomputing operations on production systems. The role starts with monitoring, node health, and account and allocation work, and moves into cluster builds and escalations.

The systems are hybrid: on-premises clusters the customer owns, accredited Government cloud regions, and commercial GPU providers, often in the same day. We are looking for strong Linux fundamentals and interest in how large systems behave. Running a supercomputer is not a prerequisite. The role leads into senior systems engineering, with cluster builds handled independently after about a year.

What you will do
  • Monitor and respond: cluster health, node state, queue behavior, and alerting, with first action on node failures, stuck jobs, and filesystem alerts.
  • Accounts and allocations: users, groups, Slurm accounts, and allocations, kept consistent across venues.
  • Node lifecycle: health checks on GPU and CPU nodes, draining and returning nodes, and the escalation path on faults, which is site staff or a vendor on customer hardware and a support case on cloud capacity.
  • Automation: extend Ansible playbooks and operational scripts, and replace the manual steps you find yourself repeating.
  • Patching and hardening: patches and hardening baselines under senior review, plus scan evidence for the security package.
  • Documentation and on call: keep runbooks current, and join the on call rotation once trained into it.

Requirements

  • 2 or more years of hands-on Linux administration. RHEL, Rocky, or Alma, or Debian and Ubuntu; we run both families and you will work on both.
  • Understanding of HPC fundamentals: batch scheduling, shared filesystems, MPI job launch, and what makes a compute node healthy.
  • Bash and Python scripting for operational work.
  • Practical networking: DNS, routing, firewalls, SSH keys, bastion access.
  • Git and a ticket driven workflow, and clear written communication.
  • Interest in the on-premises side of the estate, meaning bare metal, out of band consoles, and site networking.
  • United States citizenship and eligibility for a Secret clearance, since the work reaches export controlled Government environments. An active clearance is helpful but not required. We sponsor candidates who are eligible but not currently cleared.

You do not need every item on this list. If you have most of it and work well with other people, apply.

Preferred Qualifications
  • Any exposure to Slurm, PBS Pro, or LSF.
  • Experience with Ansible, Terraform, or another configuration management tool.
  • Time in any public cloud, and with NVIDIA GPU tooling such as nvidia-smi or DCGM.
  • Time with physical servers: racking, BMC or IPMI consoles, firmware, or a home lab with hardware in it.
  • Involvement in a student cluster competition, a university HPC support role, or open source contributions.

Benefits

Medical, vision, and dental coverage, a 401(k) with company match, short term disability, and generous paid vacation and sick time.

Equal employment opportunity

Parallel Works is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic protected by law.