ZipRecruiter

Log In

2

Remote High Performance Computing Jobs in Calumet City, IL

Parallel Works

Senior HPC Systems Engineer

Chicago, IL · Remote

$107K - $146K/yr

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 ...

Parallel Works

Senior HPC Systems Engineer

Chicago, IL · On-site +1

$107K - $147K/yr

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 ...

Parallel Works

AI Compute Sales Lead

Chicago, IL · On-site +1

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 ...

Parallel Works

AI Compute Sales Lead

Chicago, IL · Remote

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 ...

Parallel Works

Defense Sales Lead

Chicago, IL · On-site +1

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 ...

Parallel Works

Junior HPC Systems Engineer

Chicago, IL · On-site +1

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 ...

Parallel Works

Defense Sales Lead

Chicago, IL · Remote

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 ...

Varsity Tutors

C++ Tutor

Chicago, IL · Remote

$40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Oak Lawn, IL · Remote

$40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Trivium

High-ticket Closer

Chicago, IL · Remote

$250K/yr

US - fully remote We're hiring a high-performance closer to sell QuickRank, AI-powered local SEO system designed to place businesses in the top 3 positions of Google Maps, dominate local search ...

Centene

Provider Performance Manager

Burr Ridge, IL · On-site +1

$56K - $101K/yr

Collaborate with healthcare providers to help them achieve high performance with their value based ... with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an ...

previous pagenext page

Showing results 21-40

All JobsHigh Performance Computing JobsRemote High Performance Computing JobsRemote High Performance Computing Jobs in Calumet City, IL

Remote High Performance Computing information

See Calumet City, IL salary details

$30.8K

$64.8K

$106.3K

How much do remote high performance computing jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote high performance computing in Calumet City, IL is $64,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,400.00 and $78,800.00 per year, depending on experience, location, and employer.

What is remote high performance computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

How does a remote high performance computing professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.

What are the key skills and qualifications needed to thrive as a remote high performance computing specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

What is the difference between Remote High Performance Computing vs Remote Data Scientist?

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Remote High Performance Computing jobs in Calumet City, IL?

For Remote High Performance Computing jobs in Calumet City, IL, the most frequently searched job titles are:

What job categories do people searching Remote High Performance Computing jobs in Calumet City, IL look for?

The top searched job categories for Remote High Performance Computing jobs in Calumet City, IL are:

What cities near Calumet City, IL are hiring for Remote High Performance Computing jobs?

Cities near Calumet City, IL with the most Remote High Performance Computing job openings:

Infographic showing various Remote High Performance Computing job openings in Calumet City, IL as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 8% Part Time, 2% Temporary, and 6% Contract. Highlights an 51% Physical, 3% Hybrid, and 46% Remote job distribution, with an average salary of $64,765 per year, or $31.1 per hour.

Senior HPC Applications Engineer

Chicago, IL • On-site, Remote

Parallel Works
Software Development • 1 - 10 employees
Learn more about Parallel Worksexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Key responsibilities

  • Own and maintain the software stack, including compiling and packaging MPI implementations, compilers, and scientific libraries.

  • Enable AI and ML workloads by installing frameworks, configuring multi-node GPU launches, and diagnosing underlying system issues.

  • Triage tickets, diagnose failed jobs, and provide support to users to ensure successful job execution.

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 Senior HPC Applications Engineer to own the software stack and the user experience on our platforms. Our users are weather modelers, computational chemists, aerospace engineers, and AI researchers. The role is the escalation point for build failures, jobs that die partway through a multi-node run, and jobs running below expected throughput.
The scope covers both long-lived domain codes and current AI workloads, since customers run both on the same clusters. Users also move between on-premises systems, cloud, and commercial GPU providers, so a large part of the job is making an application behave the same across different compilers, site modules, MPI builds, and filesystems. Expect to spend a good share of the week talking to users.
What you will do
  • Software stack: compile and package MPI implementations (OpenMPI, MPICH, Intel MPI, HPC-X), compilers (GCC, Intel oneAPI, NVHPC), and scientific libraries, delivered through Spack or EasyBuild with Lmod module trees users can navigate.
  • Enable AI and ML workloads: install the frameworks customers ask for, get multi-node GPU launch working, and diagnose what sits below the framework: NCCL and collective behavior, container and driver mismatches, storage throughput, node faults mid-run. Customers drive their own toolchain choices.
  • Performance work: run scaling studies, profile with Nsight, VTune, TAU, HPCToolkit, or Score-P, and hand the finding to the systems team when the fix belongs in the fabric or the filesystem.
  • Portability: get customer codes running on new GPU architectures and new venues, using containers where that beats rebuilding against each site's modules.
  • User support: triage tickets, diagnose failed jobs to a root cause, and close them with a written explanation.
  • Documentation and training: user guides, office hours, and training for user communities, including formal Government training events.

Requirements
  • 10 or more years supporting scientific or AI application users on Linux HPC systems.
  • Building complex software from source on both RHEL family and Debian or Ubuntu systems: compilers, MPI, CMake and autotools, and the dependency problems that come with them.
  • Running Spack or EasyBuild and Lmod in production.
  • Experience with multi-node GPU workloads from the platform side, and the judgment to tell a framework problem from an environment problem.
  • Working with site provided software stacks on on-premises systems as well as cloud images where you control the whole stack.
  • Working knowledge of at least one application domain: weather and climate, computational fluid dynamics, molecular and materials science, or structural analysis.
  • 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
  • A prior user facing role at a Government supercomputing center, national laboratory, or university HPC center.
  • Depth in profiling and debugging tools: a GPU profiler, a CPU profiler, gdb, and MPI tooling.
  • Hands-on distributed training or inference work with PyTorch DDP or FSDP, DeepSpeed, Megatron style frameworks, JAX, vLLM, or TensorRT-LLM. Customers own their toolchains, so this is depth rather than a requirement.
  • Jupyter, remote visualization, or virtual desktop support for research users.

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.

Apply