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Remote High Performance Computing Engineer Jobs in Illinois

Advantech USA

Software Engineer I

Ottawa, IL · On-site +1

$70K - $80K/yr

Software Engineer Location(s): Ottawa, IL Compensation: $70,000-80,000 About this position ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Advantech

Software Engineer I

Ottawa, IL · On-site +1

$70K - $80K/yr

Software Engineer Location(s): Ottawa, IL Compensation: $70,000-80,000 About this position ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Advantech USA

Key Account Manager, Energy

Chicago, IL · On-site +1

Remote, (West Coast) Compensation : $100,000 - $125,000 Before Commissions and Bonus About this ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Advantech

Key Account Manager, Energy

Chicago, IL · On-site +1

Remote, (West Coast) Compensation : $100,000 - $125,000 Before Commissions and Bonus About this ... high-performance computing platforms. We cooperate closely with our partners to help provide ...

Renesas Electronics

Sr Strategic Account Mgr

Chicago, IL · On-site +1

Renesas is seeking a Remote Strategic Account Manager to support the Assigned Accounts team for the ... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ...

Renesas Electronics

Sr Strategic Account Mgr

Chicago, IL · On-site +1

Renesas is seeking a Remote Strategic Account Manager to support the Assigned Accounts team for the ... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ...

Vertiv Co

Sr. Account Manager, AI Sales

Chicago, IL · Remote

POSITION SUMMARY This is a remote role. preferably based out of Central US major market. The Sr. ... Familiarity with AI workloads, high-performance computing (HPC), and edge AI deployments. PREFERRED ...

Turnblock.io

Software Engineer Remote (Web3)

Chicago, IL · Remote

$200K - $250K/yr

... engineers to join them. This is a remote position for any US-based candidate. Our client ... They created the first and only high performance blockchain distribution network (BDN) with the ...

Varsity Tutors

C++ Tutor

Buffalo Grove, 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

Evanston, 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

Lake Forest, 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 ...

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Remote High Performance Computing Engineer information

What are some common challenges faced by Remote High Performance Computing Engineers and how can they be addressed?

Remote High Performance Computing (HPC) Engineers often encounter challenges related to managing complex distributed systems and ensuring efficient communication with geographically dispersed teams. Troubleshooting hardware and software issues from afar can require creative problem-solving and strong documentation skills. Additionally, maintaining security and data integrity across remote HPC clusters is critical. Regular virtual meetings, clear documentation practices, and leveraging remote monitoring tools can help address these challenges and foster effective collaboration within the team.

What is a Remote High Performance Computing Engineer?

A Remote High Performance Computing (HPC) Engineer is a technology professional who designs, configures, maintains, and troubleshoots advanced computing systems and clusters, often from a remote location. These engineers focus on optimizing hardware and software to achieve maximum computational efficiency for tasks such as scientific simulations, big data analysis, and machine learning. They collaborate with researchers, developers, and IT teams to ensure seamless operation of HPC resources, frequently utilizing cloud-based or distributed infrastructure. Remote HPC Engineers need strong skills in Linux administration, programming, networking, and parallel computing frameworks.

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

AspectRemote High Performance Computing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience with HPC systemsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentDesigning, optimizing, and maintaining HPC systems remotely for scientific or engineering tasksAnalyzing large datasets, building models, and generating insights remotely for various industries
Employer & Industry UsageTech companies, research institutions, engineering firms using HPC clustersTech, finance, healthcare, and research organizations leveraging data analytics

While both roles often require strong programming skills and familiarity with cloud or remote systems, the HPC Engineer focuses on maintaining and optimizing high-performance computing infrastructure, whereas the Data Scientist emphasizes data analysis and modeling. Their work environments overlap in remote settings, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing Engineer, and why are they important?

To excel as a Remote High Performance Computing (HPC) Engineer, you need a solid background in computer science or engineering, with expertise in parallel programming, distributed systems, and HPC architectures. Proficiency in using tools such as MPI, OpenMP, SLURM, Linux environments, and experience with cloud-based or on-premises supercomputing systems is crucial, often supported by relevant certifications. Strong problem-solving, communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting complex issues. These skills and qualities are vital for optimizing computational performance, supporting scientific research, and ensuring seamless remote teamwork in HPC environments.
What are the most commonly searched types of High Performance Computing Engineer jobs in Illinois? The most popular types of High Performance Computing Engineer jobs in Illinois are:
What are popular job titles related to Remote High Performance Computing Engineer jobs in Illinois? For Remote High Performance Computing Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing Engineer jobs in Illinois look for? The top searched job categories for Remote High Performance Computing Engineer jobs in Illinois are:
What cities in Illinois are hiring for Remote High Performance Computing Engineer jobs? Cities in Illinois with the most Remote High Performance Computing Engineer job openings:
Remote High Performance Computing Engineer jobs near you
Assistant Physicist

Assistant Physicist

Argonne National Laboratory

Lemont, IL • On-site, Remote

Full-time

Posted 7 days ago

Job description

The X-ray Imaging Group (https://www.aps.anl.gov/Imaging) of the X-ray Science Division (XSD) operates the full-field x-ray imaging beamlines at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) and pursues collaborative research across materials, energy, environmental, geo-, and life sciences using micro- and nano-tomography and high-speed imaging.

With the APS Upgrade driving a substantial increase in data rates and experimental complexity, the group is investing in AI/ML-driven software, automation, and autonomous experimentation, including a planned fully autonomous, AI-driven tomography beamline - to keep pace with user demand and unlock new science. This work is carried out in close coordination with the APS Computational science and AI (CAI) (https://cai.xray.aps.anl.gov/) group and other APS AI efforts and activities spanning data, computing, and machine learning across the facility. The appointee will benefit from access to world-leading experimental and computational resources at Argonne, including the upgraded APS and the exascale Aurora supercomputer.

We seek highly motivated candidates with strong expertise in AI/ML and in the development of AI tools for scientific operations to join the X-ray Imaging Group. The successful candidate will lead the design and deployment of AI-powered software that supports user operations, automates data acquisition and analysis, and enables closed-loop, autonomous experiments across the group's beamlines.

Position Responsibilities:

  • Design, develop, and deploy AI/ML tools for x-ray imaging operations including reconstruction, super-resolution, spatiotemporal fusion, denoising, segmentation, and feature extraction - and integrate them into the beamline software stack.

  • Build closed-loop experimental workflows in which AI agents use streaming data and real-time reconstruction and analysis to steer measurement decisions, and contribute to the development of a fully autonomous, AI-driven tomography beamline as a flagship project for the group.

  • Collaborate with the APS Computation and AI (CAI) group and engage with other APS AI efforts and activities to align Imaging Group tools with facility-wide AI/ML infrastructure, data services, and computing resources, and to contribute to shared frameworks for autonomous experimentation.

  • Develop automated pipelines for acquisition, quality control, and downstream analysis that translate beamline-scientist expertise and currently manual operational steps into robust, reusable software.

  • Build and maintain pipelines for robust metadata capture and the systematic generation of curated, standardized datasets to support continual AI/ML model training and validation.

  • Provide on-site support for user operations and data collection across the X-ray Imaging Group beamlines, working directly with beamline staff and users during experiments.

  • Contribute to the longer-term extension of AI-enabled automation and autonomy across Imaging Group modalities, including micro- and nano-tomography and high-speed imaging.

  • Prepare experiments and instruments for remote and AI-driven operation.

  • Present research results through publications, conferences, and scientific meetings.

  • May be required to perform other duties as assigned.

Position Requirements

  • Ph.D. in computer science, electrical engineering, computational physics, computational materials science, applied mathematics, or a closely related field.

  • Demonstrated expertise in AI/ML applied to imaging or scientific data, including hands-on experience developing and deploying deep-learning models (e.g., CNNs, vision transformers, diffusion models, or related architectures).

  • Strong scientific software development skills in Python and modern deep-learning frameworks (e.g., PyTorch, TensorFlow), including experience with distributed training on high-performance computing resources.

  • Experience with high-performance computing (HPC) and/or cloud environments.

  • Experience with version control (e.g., Git) and collaborative software development practices.

  • Experience working with experimental imaging data, ideally at a synchrotron, electron microscopy, medical imaging, or comparable facility.

  • Ability to work effectively both independently and in a collaborative, team-based research environment.

  • Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork.

  • Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory.

Preferred Knowledge, Skills, and Experience

  • Experience developing AI/ML methods specifically for x-ray imaging, tomography, or high-speed imaging applications.

  • Experience designing or contributing to automated, remote, or closed-loop ("self-driving") experimental workflows, including real-time data reduction, on-the-fly reconstruction, and AI-based experimental steering.

  • Experience collaborating with facility-level computing, data, or AI groups to deploy software into production scientific environments.

  • Experience handling high-rate, large-volume imaging datasets and developing high-throughput reconstruction or analysis pipelines.

  • Experience contributing to open-source scientific software projects.

  • Familiarity with metadata standards, data management, and curation practices that support reproducible science and ML training datasets.

  • Familiarity with beamline data acquisition systems, detectors, or controls software, sufficient to integrate AI tools into operational workflows.

Job Family

Research Development (RD)

Job Profile

Physics 2

Worker Type

Regular

Time Type

Full timeThe expected hiring range for this position is $94,486.00 - $147,398.94.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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