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Remote High Performance Computing Jobs in Michigan

Varsity Tutors

C++ Tutor

Kalamazoo, MI · 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

Ann Arbor, MI · 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

Detroit, MI · Remote

$40/hr

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

Harris

Director of Sales

Wyoming, MI · Remote

$150K - $200K/yr

... of high performance and relentless execution. * Win the Market: Take full ownership of the "New ... Remote work flexibility, generous vacation policy, and lifestyle rewards. * Purpose-Driven Work:

Harris

$150K - $200K/yr

... of high performance and relentless execution. * Win the Market: Take full ownership of the "New ... Remote work flexibility, generous vacation policy, and lifestyle rewards. * Purpose-Driven Work:

Lineage Logistics

Datacenter Compute Engineer

Novi, MI · Remote

$100K - $132K/yr

... ensuring high performance, scalability, and reliability for our systems. Working in a team of ... This is a REMOTE position with up to 25% travel required on occasion. Primary Responsibilities:

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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 are popular job titles related to Remote High Performance Computing jobs in Michigan? For Remote High Performance Computing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in Michigan look for? The top searched job categories for Remote 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:
Remote High Performance Computing jobs near you
Senior HPC Software Engineer

Senior HPC Software Engineer

Ford Motor Company

Dearborn, MI • On-site, Remote

$112K - $148K/yr

Full-time

Medical, Dental, Life, PTO

Posted 17 days ago

Job description

Job Description
We are seeking a senior technical contributor to help support, modernize, and scale our on premise high performance computing platform. This role will work across Linux systems administration, HPC operations, Kubernetes-based services, automation, observability, software tooling, and user-facing platform delivery. The ideal candidate has deep experience administering RHEL based systems in complex compute environments and is comfortable troubleshooting issues across operating systems, schedulers, storage, networking, containers, applications, and user workloads.
This person will play a key role in improving the reliability, usability, and operational maturity of the platform. They will help develop and maintain core HPC services, support users running demanding engineering and AI/ML workloads, and create tooling, scripts, APIs, and integrations. Strong software engineering fundamentals are important, including experience with Python, Go, or similar languages, Git-based development workflows, code reviews, testing practices, CI/CD pipelines, documentation, and maintainable code design. Experience with Slurm or other workload managers is highly valued.
We are looking for someone who can balance strong technical depth with a user-focused delivery mindset. This role requires the ability to work collaboratively with platform engineers, application teams, and technical users to identify pain points, resolve production issues, document repeatable processes, and build durable improvements. The right candidate will be pragmatic, a team player, comfortable in a fast-moving environment, and motivated by making complex, massive on-prem infrastructure easier to operate, automate, observe, and continuously improve.
Responsibilities
  • Administer, troubleshoot, and improve RHEL based high performance computing environments supporting CPU and GPU workloads.
  • Create and maintain HPC services across compute, storage, networking, scheduling, Kubernetes, and observability.
  • Develop tools, scripts, APIs, integrations, and automation using Python, Go, Bash, or similar languages.
  • Apply software engineering best practices, including Git workflows, code reviews, testing, modular design, and CI/CD.
  • Support and help update HPC scheduling environments, with Slurm experience preferred.
  • Improve monitoring, alerting, dashboards, and operational visibility using Grafana, Prometheus, Dynatrace, and related tools.
  • Partner with users, customers, and internal engineering teams to understand requirements, resolve issues, and improve platform usability.
  • Create and maintain documentation, architecture notes, user guides, and operational procedures.
  • Drive platform modernization focused on reliability, scalability, automation, security, and maintainability.

Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
  • 10+ years of experience in systems engineering, infrastructure engineering, platform engineering, or a related technical role.
  • Strong Linux systems administration experience, preferably with RHEL.
  • Experience with Slurm, PBS, or another HPC workload manager.
  • Experience creating APIs, applications, and services that support platform operations and user workflows.
  • Experience supporting production compute, infrastructure, and large-scale technical environments.
  • Hands-on experience with scripting and software development using Python, Go, Bash, or similar languages.
  • Familiarity with CI/CD concepts, GitHub, and modern software delivery practices.
  • Strong troubleshooting skills across operating systems, services, networking, storage, and application layers.
  • Ability to write clear documentation and communicate effectively with both technical and non-technical stakeholders.
  • Strong ownership mindset with the ability to drive issues to resolution.
  • Ability to use independent judgement to make sound technical decisions.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary
This position is a salary grade 8.
This position is a salary grade 8 and ranges from $113,580-192,900.
*Visa Sponsorship is not provided for this role*
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
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About Ford

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At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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