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High Performance Computing Jobs in Wisconsin (NOW HIRING)

ConfigUSA

CUDA Programmer

Waukesha, WI · On-site

Proficiency in C/C++ for high-performance computing. * Experience with CUDA profiling and debugging tools (Nsight, nvprof). * Solid understanding of multi-threading, memory optimization, and ...

Accenture

Full Stack Engineer Manager

Milwaukee, WI · On-site

$94K - $293K/yr

Experience in Artificial Intelligence (AI), Large Language Model (LLM), or High-Performance Computing (HPC) * Strong proficiency in Linux, with a deep understanding of operating systems at the kernel ...

Foxconn WI

Cooling System Engineer

Mount Pleasant, WI

$70K - $80K/yr

... high-performance computing environments. The Cooling System Engineer will collaborate with cross-functional teams--including mechanical, electrical, and reliability engineers--to design innovative ...

Foxconn WI

Cooling System Engineer

Mount Pleasant, WI · On-site

... high-performance computing environments. The Cooling System Engineer will collaborate with cross-functional teams-including mechanical, electrical, and reliability engineers-to design innovative ...

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High Performance Computing information

See Wisconsin salary details

$40.4K

$100.5K

$154.9K

How much do high performance computing jobs pay per year?

As of Jul 3, 2026, the average yearly pay for high performance computing in Wisconsin is $100,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $127,200.00 per year, depending on experience, location, and employer.

What are the typical responsibilities of someone working in High Performance Computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

Does HPC pay well?

High Performance Computing (HPC) professionals typically earn competitive salaries due to the specialized skills required, such as programming, system administration, and knowledge of parallel processing. Salaries vary based on experience, education, and location but generally align with other technology and engineering roles in the industry.

What engineer makes $500,000 a year?

High Performance Computing (HPC) engineers with extensive experience, advanced skills in parallel programming, and expertise in hardware and software optimization can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles within large tech companies or research institutions. Such positions often require advanced degrees, certifications, and a strong track record of innovation and leadership in the field.

What are the key skills and qualifications needed to thrive in the High Performance Computing position, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

What is the highest paying computing job?

High Performance Computing (HPC) specialists, including roles like HPC engineers and computational scientists, tend to have some of the highest salaries in the computing field due to their specialized skills in managing large-scale systems, parallel processing, and high-performance hardware. Senior positions with advanced expertise in parallel programming, cluster management, and relevant certifications can earn six-figure salaries, especially in industries like finance, research, and technology. Salary levels depend on experience, location, and industry demand.

What is a High Performance Computing job?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What is a high-performance computing job?

A high-performance computing (HPC) job involves using powerful computer systems and parallel processing techniques to perform complex calculations and data analysis at high speeds. These roles often require knowledge of programming, cluster management, and specialized software to optimize computational tasks in fields like scientific research, engineering, or data science.
What are popular job titles related to High Performance Computing jobs in Wisconsin? For High Performance Computing jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching High Performance Computing jobs in Wisconsin look for? The top searched job categories for High Performance Computing jobs in Wisconsin are:
What cities in Wisconsin are hiring for High Performance Computing jobs? Cities in Wisconsin with the most High Performance Computing job openings:
High Performance Computing jobs near you

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

Hudson Manpower

Waukesha, WI • On-site

Contractor

Posted 28 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
Only USC / GC
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: prasad@hudsonmanpower.com

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