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Remote High Performance Computing Jobs in Illinois

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

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 ...

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 ...

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

... High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse ... Our people-first culture and global support system, including the remote work option and Employee ...

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 ...

Advantech

Software Engineer I

Ottawa, IL · On-site

$70K - $80K/yr

Advantech has always been an innovator in the development and manufacture of high-quality, high-performance computing platforms. We cooperate closely with our partners to help provide complete ...

Advantech USA

Software Engineer I

Ottawa, IL · On-site +1

$70K - $80K/yr

Advantech has always been an innovator in the development and manufacture of high-quality, high-performance computing platforms. We cooperate closely with our partners to help provide complete ...

Varsity Tutors

C++ Tutor

Lake Forest, IL · Remote

$18 - $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 information

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 the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) 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 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 (HPC) 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 most commonly searched types of High Performance Computing jobs in Illinois? The most popular types of High Performance Computing jobs in Illinois are:
What are popular job titles related to Remote High Performance Computing jobs in Illinois? For Remote High Performance Computing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in Illinois look for? The top searched job categories for Remote High Performance Computing jobs in Illinois are:
What cities in Illinois are hiring for Remote High Performance Computing jobs? Cities in Illinois with the most Remote High Performance Computing job openings:
Remote High Performance Computing jobs near you
Assistant Physicist

Assistant Physicist

Argonne National Laboratory

Lemont, IL • On-site, Remote

Full-time

Posted 13 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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