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Hpc Jobs in Wisconsin (NOW HIRING)

Filter Press Operator

Superior, WI

$27 - $33/hr

  • Medical

  • Retirement

  • PTO

HPC-Industrial powered by Clean Harbors in Superior, WI is looking for a Filter Press Operator to join their safety conscious team! The operator operates a variety of mechanical and manual servicing ...

Filter Press Operator

Superior, WI ยท On-site

$27 - $33/hr

  • Medical

  • Retirement

  • PTO

HPC-Industrial powered by Clean Harbors in Superior, WI is looking for a Filter Press Operator to join their safety conscious team! The operator operates a variety of mechanical and manual servicing ...

Filter Press Operator

Superior, WI ยท On-site

$27 - $33/hr

  • Medical

  • Retirement

  • PTO

HPC-Industrial powered by Clean Harbors in Superior, WI is looking for a Filter Press Operator to join their safety conscious team! The operator operates a variety of mechanical and manual servicing ...

Filter Press Operator

Superior, WI ยท On-site

$14.90 - $34.62/hr

  • Medical

  • Retirement

  • PTO

HPC-Industrial powered by Clean Harbors in Superior, WI is looking for a Filter Press Operator to join their safety conscious team! The operator operates a variety of mechanical and manual servicing ...

Showing results 41-60

Hpc information

See Wisconsin salary details

$9

$18

$29

How much do hpc jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for hpc in Wisconsin is $18.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $21.35 per hour, depending on experience, location, and employer.

What is an HPC (High Performance Computing) specialist?

HPC (High Performance Computing) professionals are experts who design, manage, and optimize powerful computing systems used for complex computational tasks. These systems are often used in scientific research, weather forecasting, engineering simulations, and data analysis where large amounts of data need to be processed quickly. HPC professionals work with clusters, supercomputers, and advanced software to ensure high-speed performance and reliability. Their skills include parallel programming, system administration, and troubleshooting complex computational problems.

What skills and qualifications are needed to thrive as an HPC specialist?

To thrive as an HPC Specialist, you need a strong background in computer science, parallel programming, and systems architecture, often supported by a relevant degree or certifications. Familiarity with Linux operating systems, cluster management tools, job schedulers (like SLURM), and programming languages such as C/C++ or Python is essential. Effective problem-solving, teamwork, and communication skills help HPC specialists collaborate with researchers and troubleshoot complex technical issues. These skills and qualities are crucial to optimize computational resources and support advanced scientific or engineering projects.

What are common challenges faced by HPC specialists when supporting large-scale scientific research projects?

HPC professionals often encounter challenges such as optimizing code for parallel processing, managing limited computational resources, and ensuring efficient data throughput for large datasets. Collaborating with researchers to translate scientific problems into computational tasks requires strong communication skills and adaptability. Additionally, keeping up with rapidly evolving hardware and software technologies is essential for maintaining and improving system performance. These challenges are typically met through ongoing training, teamwork with domain scientists, and proactive system monitoring.

What is the difference between Hpc vs Network Administrator?

AspectHpcNetwork Administrator
Required CredentialsTypically requires a degree in computer science, IT, or related field; certifications like HPC certifications or Linux certifications are commonRequires a degree in computer science, IT, or related field; certifications like Cisco CCNA, CompTIA Network+ are common
Work EnvironmentHigh-performance computing centers, research labs, data centersOffice settings, data centers, corporate IT departments
Industry UsageResearch institutions, scientific computing, large-scale data processingCorporate, government, and educational institutions managing network infrastructure

Hpc specialists focus on managing and optimizing high-performance computing systems for scientific and research purposes, while Network Administrators oversee and maintain network infrastructure to ensure connectivity and security. Both roles require IT expertise but differ in their specific environments and technical focus.

Are high-performance computing engineers in demand?

High-performance computing (HPC) engineers are in high demand due to the increasing need for processing large datasets, simulations, and complex computations across industries such as research, finance, and technology. Skills in parallel programming, cluster management, and knowledge of tools like MPI and CUDA enhance job prospects in this field.

What are high-performance computing jobs?

High-performance computing (HPC) jobs involve working with powerful computer systems that process large datasets and complex calculations quickly. These roles often require knowledge of parallel processing, programming languages like C++ or Python, and familiarity with HPC hardware and software environments.

What education is needed for high-performance computing jobs?

High-performance computing (HPC) jobs typically require at least a bachelor's degree in computer science, engineering, or a related field. Advanced roles may require a master's or Ph.D., along with skills in programming, parallel computing, and familiarity with HPC tools and environments.

What are popular job titles related to Hpc jobs in Wisconsin?

For Hpc jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Hpc job openings in Wisconsin as of August 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $38,941 per year, or $18.7 per hour.

Software Engineer - Software Engineer - GPU, C++, OpenCL, CUDA

Hudson IT

Waukesha, WI โ€ข On-site

Other

Posted 5 days ago


Job description

Position: Software Engineer - GPU, C++, OpenCL, CUDA
Location: Waukesha, WI (Onsite)
Exp: 5 - 9 yrs
Key Skills: GPU, C++, OpenCL, CUDA, OneAPI, Matlab
Job Requirements
The CT Program is working on upgrading CT scanners used worldwide. The center is currently concentrating on the ongoing enhancement of the next generation of CT machines, including their essential workflows and applications. For that purpose, proficient and experienced resources are required.
Primary Objective:
  1. Leverage proprietary software platform to implement image processing algorithms on GPUs. (C++/OpenCL/CUDA/OneAPI)
  2. Improve image chain performance using heterogeneous high-performance computing (HPC) to meet customer expectations
  3. Ensure quality and compliance of productized code per regulatory expectations

Detailed Requirements:
  1. Productized CT image processing algorithms on GPU, including ported algorithms from Matlab to GPU, or OpenCL to CUDA
  2. Improved image chain & algorithm performance compared to initial benchmarks
  3. Perform GPU profiling, identify algorithm bottlenecks, troubleshoot and resolve performance issues
  4. Improve GPU utilization leveraging heterogenous HPC knowledge.
  5. Perform testing, reliability analysis, performance benchmarks and document results
  6. Execute test procedures with high quality and rigor, following Good Documentation Practices

Work Experience
Skills:
  1. Programming Languages: C++, OpenCL, CUDA, OneAPI
  2. Image Processing Algorithms: Implementation and optimization on GPUs
  3. High-Performance Computing (HPC): Knowledge of heterogeneous HPC
  4. Profiling and Performance Analysis: GPU profiling, identifying bottlenecks, troubleshooting, and resolving performance issues
  5. Testing and Documentation: Performing testing, reliability analysis, performance benchmarks, and documenting results following Good Documentation Practices

Additional Experience:
Productizing Algorithms: Experience in productizing CT image processing algorithms on GPU
Porting Algorithms: Experience in porting algorithms from Matlab to GPU or OpenCL to CUDA
Improving Performance: Proven track record of improving image chain and algorithm performance compared to initial benchmarks
Quality and Compliance: Ensuring quality and compliance of productized code per regulatory expectations
Best regards,
Prasad Kalsekar | Hudson Manpower
Email: