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High Performance Computing Jobs in Wisconsin (NOW HIRING)

Future Ventures

WI · On-site

$140 - $210/hr

Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SR. HIGH PERFORMANCE COMPUTING (HPC) SYSTEMS ENGINEER SpaceX is ...

New

NVIDIA Gruppe

HPC Performance Engineer

Oregon, WI · On-site

$152 - $241.50/hr

Our performance engineers analyze High Performance Computing (HPC) applications with the intent of improving performance by driving compiler optimizations and library enhancements. This role offers ...

New

GE HealthCare

Software Engineer

Waukesha, WI · On-site

Our team operates at the intersection of software engineering, applied mathematics, high-performance computing, and medical device development. Almost no engineer arrives with expertise in all these ...

Gehc

Software Engineer

Waukesha, WI · On-site

Our team operates at the intersection of software engineering, applied mathematics, high-performance computing, and medical device development.Almost no engineer arrives with expertise in all these ...

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 ...

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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 Sep 2, 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 is high performance computing?

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 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.

What are the key skills and qualifications needed to thrive in high performance computing, 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.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

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
Infographic showing various High Performance Computing job openings in Wisconsin as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $100,459 per year, or $48.3 per hour.

Sr. High Performance Computing (HPC) Systems Engineer

Future Ventures

WI • On-site

$140 - $210/hr

Other

Posted yesterday

New

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

SR. HIGH PERFORMANCE COMPUTING (HPC) SYSTEMS ENGINEER

SpaceX is looking for an HPC Systems Engineer with strong knowledge and experience in a world class engineering organization. This employee will be a member of the HPC team and will support SpaceX personnel and proprietary systems. The ideal candidate will be flexible and flourish in a fast paced and challenging environment. They should be a self-starter, self‑motivator and possess ingenuity to excel at this position.

RESPONSIBILITIES:
  • Administer and manage HPC clusters, storage systems, and high-speed networks
  • Provide application support to SpaceX employees across engineering disciplines
  • Install and integrate Linux-based compute clusters
  • Write instructional documentation and convey highly technical ideas in non-technical terms
BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or scientific discipline and 5+ years of systems engineering experience; OR 7+ years of professional experience building software in lieu of a degree
  • 5+ years of hands‑on experience with client and server hardware/software, management tools, enterprise networking, virtualization, and security technologies
  • Experience with Kubernetes
PREFERRED SKILLS AND EXPERIENCE:
  • 5+ years of professional experience building, deploying and troubleshooting Linux systems
  • Experience with a scripting language (Bash, Python) to automate and solve reoccurring tasks
  • Experience building, deploying and troubleshooting HPC clusters
  • Familiarity with cluster resource managers (Slurm, PBS, LSF)
  • Experience with monitoring and alerting technologies (Prometheus, Grafana, Nagios)
  • Familiarity with scientific and engineering computing (CFD, FEA)
  • Familiarity with large scale AI training
  • Familiarity with GPU usage in a compute cluster and Cuda
  • Experience with containers (Docker, Podman, Singularity)
  • Experience deploying and maintaining automated configuration management software (Puppet, Ansible)
  • Comfortable working with mission critical and sensitive systems, with a sense of urgency appropriate to the responsibilities
  • Eligibility for access to classified material up to TS/SCI with Polygraph
ADDITIONAL REQUIREMENTS:
  • Must be willing to work extended hours and weekends as needed
ITAR REQUIREMENTS:
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Applicants wishing to view a copy of SpaceX’s affirmative action plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.

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