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Remote High Performance Computing Jobs in Michigan

Design and develop scalable, high-performance applications and services using a variety of software ... Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ...

Cloud Architect - Remote

Lansing, MI ยท On-site +1

$66 - $84/hr

This role develops computing strategies, which incorporates cloud adoption plans, application ... Provide performance analysis & troubleshooting * Design and test large-scale workload and data ...

Foster a high-performance environment, keeping the team motivated and focused on delivery ... LI-JM3 LI-REMOTE Basic Requirements Required Skills: * High School diploma, plus a Bachelor ...

... high-performance culture focused on accountability, customer satisfaction, and continuous improvement. * Bachelor's degree required, Masters degree preferred * May manage 8 to 20+ remote associates

Foster a high-performance culture focused on accountability, customer satisfaction, and continuous ... May manage 8 to 20+ remote associates * Exceptional communication and team building * Successful ...

High level of organization and attention to detail * Ability to manage multiple tasks and meet ... Performance-based compensation based on completed client arrangements * Ongoing training and ...

Compensation * $50,000-$65,000 annually (performance-based) * Additional bonus opportunities ... High school diploma or GED required About S&A Group S&A Group is committed to providing a ...

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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 Michigan? The most popular types of High Performance Computing jobs in Michigan are:
What cities in Michigan are hiring for Remote High Performance Computing jobs? Cities in Michigan with the most Remote High Performance Computing job openings:
Research Engineer, Remote Sensing

Research Engineer, Remote Sensing

SRI International

Ann Arbor, MI โ€ข On-site, Remote

$115K - $172K/yr

Full-time

Re-posted 19 days ago


Job description

Overview
From our Ann Arbor, MI office, Research Engineers will participate in multi-disciplinary, collaborative teams and contribute to the development of state-of-the-art remote sensing solutions and surveillance technologies. Relevant sensor types include electro-optic/infrared and active/passive radar imaging systems. Projects will include the development of advanced sensor concepts to exploit new and unique phenomenology, and the associated design and validation activities. Check us out!
You will make leading-edge contributions to existing programs and help to shape the direction of future research efforts. You will have the opportunity to develop into a Principal Investigator, designing new research paths, supervising research staff, and interacting with research sponsors to fund new program directions. Most programs are executed in small, highly collaborative groups.
From applied research to product development, the Advanced Technology and Systems Division (ATSD) manages complex projects for government and commercial clients. The vision of ATSD is to create competitive advantages for our customers by inventing new technology and concepts resulting in disruptive, low cost, and high-performance solutions. The division advances the state of the art in diverse areas such as radar and electronic warfare; novel imaging technology; robotics; quantum sensing and metrology; marine technology; and applied optics.
Responsibilities
  • Work with an interdisciplinary team developing algorithms for exploitation of sensor data in geospatial contexts.
  • Formation and analysis of imagery products, development of advanced signal processing tools for image understanding and imagery exploitation, and the integration of data from multiple sources to enhance understanding.
  • Programming, algorithm development, design and execution of Electro-Optic and/or radar computational models & simulations, and analysis of results.
  • Participate in laboratory work, collecting and analyzing sensor data.
  • Additional tasks include defining software and system interfaces, system integration and testing, and field support to experiments and demonstrations. Anticipated work products include written reports and preparation and delivery of presentations and project

Qualifications
  • Ph.D. degree in a relevant field; or Masters in related field with 3 years experience or Bachelors in related field with 5+ years of related experience.
  • U.S. Citizenship with ability to obtain and maintain a U.S. government security clearance required.
  • Ability for occasional travel associated with meetings and/or data collections

Desired Skills:
  • Experience associated with radar, imaging sensors, image processing, and signal/data processing applications.
  • Experience with software development in C and/or C++ and algorithm implementations in Python/MATLAB.
  • Experience with Unix/Linux operating system
  • Solid analytical ability.

The salary range is: $115,710-$172,115. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.
SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.