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High Performance Computing Hpc Jobs in Michigan (NOW HIRING)

Our team designs, develops and delivers solutions for our High Performance Computing (HPC) appliances and software. Our software stack runs on many of the top supercomputers around the world, so we ...

Our team designs, develops and delivers solutions for our High Performance Computing (HPC) appliances and software. Our software stack runs on many of the top supercomputers around the world, so we ...

... High-Performance Computing (HPC) environments dedicated to Computer-Aided Engineering (CAE) workloads. This role is responsible for ensuring system stability, scalability, and performance of HPC ...

HPC AI Solution Architect (S2S)

Detroit, MI · On-site

$62.25 - $82/hr

... and high-performance computing infrastructure, collaborating closely with AI specialists and ... Preferred : • 2+ years implementing AI/HPC cluster scheduling (Slurm and Kubernetes), including ...

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High Performance Computing Hpc information

See Michigan salary details

$28.3K

$59.5K

$97.6K

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

As of May 30, 2026, the average yearly pay for high performance computing hpc in Michigan is $59,485.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $72,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a High Performance Computing (HPC) specialist, and why are they important?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in High Performance Computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is High Performance Computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

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

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

What are popular job titles related to High Performance Computing Hpc jobs in Michigan? For High Performance Computing Hpc jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching High Performance Computing Hpc jobs in Michigan look for? The top searched job categories for High Performance Computing Hpc jobs in Michigan are:
Infographic showing various High Performance Computing Hpc job openings in Michigan as of May 2026, with employment types broken down into 17% Internship, 49% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $59,485 per year, or $28.6 per hour.
High-Performance Computing Architect

High-Performance Computing Architect

Prolim Global

Lansing, MI • On-site

$169.40K/yr

Other

Posted 16 days ago


Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking a High-Performance Computing Architect for location Lansing, Michigan, United States for one of our Top clients.

Job Description:

Basic HPC security
Implementing and maintaining data management infrastructure
Providing support for SAN and NAS storage, backup/recovery environments and virtualization infrastructure by implementing, managing, and monitoring the hardware and software
Playing a major role in the security, disaster recovery and services continuity of a highly available enterprise storage and backup infrastructure by following established procedures and compliance requirements
Technical support (installation, configuration, maintenance, upgrade, retirement, troubleshooting).
Configuration management using frameworks such as Ansible, Puppet, and Chef.
Administration of high-speed network storage systems including Mellanox switches, and NAS Cluster.
Managing, configuring, and supporting cloud systems such as setting up, maintaining, and troubleshooting cloud compute engines and storage buckets
Managing databases(eg:SQL Server, PostGreSQL , MySQL, Oracle)
Assisting staff to access and utilize computing resources
Co-ordinating with Labs and DTMB staff on maintaining and managing the computational resources

Skills & Experiences
10+ years experience with the Linux CLI environment and coding languages such as R, Python, Bash
10+ years experience with workload management systems such as SLURM
10+ years experience with setting up HPC systems including identifying suitable hardware and software needs
10+ years experience with setting up and managing databases such as PostgreSQL
10+ years experience performing System Administration including installation, configuration, and support software, packages, and libraries in various environments
10+ years experience with Network Appliance clustered servers and applicable software
10+ years experience with hands-on troubleshooting, issue resolution, discrepancy tracking, and report generation
10+ years experience with Linux configuration regarding Storage, Networking, Load Balancing, Memory Management, VMs, Firewalls, and System Monitoring
10+ years experience with computer security
Knowledge of package management systems such as conda, Docker and Singularity
Knowledge of automation tools such as Ansible or Puppet and NextFlow
Experience with cloud computing (setting up compute engines, storage buckets)
Strong knowledge of enterprise storage solutions
Familiar with software frameworks used for searching, monitoring, and analyzing big data
Ability to provide good recommendations, and guidance for storage and cost savings for Labs
Knowledge and experience in HL7 messaging
Ability to review and interpret web.config files for plugins and interpret them
Ability to review logs(for eg:IIS logs, Dynatrace logs, etc) to make sure that there is no excess resource utilization and no peaks or spikes occurring on the web/app server
Knowledge in ClouFlare, ForcePoint and the related rule(for eg.C86 rule) and the policies
Ability to understand the existing junction configuration to the application and review those settings in case of a break
Help the team with setting up Failover environment for Apps
Help the team to complete the Disaster Recovery(DR) Plan and DR Testing
Knowledge on CDC hosted apps(preferred, not a requirement)

Apply online for immediate consideration, please send your updated resume, and contact info via email praful.salunkey@prolim.com

About PROLIM Corporation

PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.