1

Freelance High Performance Computing Engineer Jobs in Wisconsin

... computing concepts and tools - MPI, OpenMP Experience for 5+ years ... in designing and architecting high performance systems. Experience with CT/MR acquisition ...

Apply Early

next page

Showing results 1-20

Freelance High Performance Computing Engineer information

How do freelance High Performance Computing (HPC) Engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is a Freelance High Performance Computing Engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a Freelance High Performance Computing Engineer, and why are they important?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

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

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are popular job titles related to Freelance High Performance Computing Engineer jobs in Wisconsin? For Freelance High Performance Computing Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Freelance High Performance Computing Engineer jobs in Wisconsin look for? The top searched job categories for Freelance High Performance Computing Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Freelance High Performance Computing Engineer jobs? Cities in Wisconsin with the most Freelance High Performance Computing Engineer job openings:
Infographic showing various Freelance High Performance Computing Engineer job openings in Wisconsin as of June 2026, with employment types broken down into 71% Full Time, 16% Part Time, and 13% Contract. Highlights an 100% In-person job distribution.
Cloud Infrastructure Architect

Cloud Infrastructure Architect

University of Wisconsin-Madison

Madison, WI • On-site

Full-time

Retirement, PTO

Posted 2 days ago


University Of Wisconsin-Madison rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

113th of 544 rated colleges and universities


Job description

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.
Job Category: Academic Staff
Employment Type: Regular
Job Profile: DevOps Engineer III
Job Summary:
The Wisconsin Health Data Hub (WHDH), funded by the U.S. Economic Development Administration (EDA), is developing a secure, cloud-native data platform designed to deliver high-quality real-world data to support biomedical research, advanced analytics, and AI-driven discovery.
The Cloud Infrastructure Architect provides technical leadership responsible for designing, implementing, and automating the infrastructure, deployment pipelines, and operational environment of WHDH's data platform. This role ensures the secure, scalable, and highly available integration of infrastructure components supporting complex clinical and research data assets across a cloud-based environment. The position automates environments for advanced analytics, machine learning, and federated research capabilities while strictly maintaining compliance with HIPAA and institutional data security standards.
Working closely with data solutions architects, data engineers, AI specialists, and security leaders, the Cloud Infrastructure Architect will translate architectural and operational requirements into scalable Infrastructure as Code (IaC) solutions and robust CI/CD practices that support WHDH's long-term platform strategy.
Key Responsibilities
Cloud Infrastructure and Platform Orchestration
Design and implement the scalable, secure, cloud-native infrastructure framework supporting WHDH's data platform using Infrastructure as Code (IaC) principles (e.g., Terraform, CloudFormation).
Develop and maintain automated, elastic environments capable of ingesting, harmonizing, storing, and delivering massive structured and unstructured health datasets.
Optimize containerized environments and orchestration layers (e.g., Kubernetes, ECS) to seamlessly support complex research workflows and distributed computing.
Architect high-performance computing environments and automated provisioning pipelines tailored for AI, machine learning, and large-scale data analysis.
Deployment Pipelines and Continuous Integration (CI/CD)
Build and manage secure, automated CI/CD pipelines for data engineering workflows, application code, and infrastructure deployments.
Enable reliable, continuous deployment methodologies that ensure zero-downtime updates and seamless system testing across health systems and research institutions.
Implement operational monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack) to proactively ensure platform reliability, uptime, and performance.
DevSecOps and Compliance Automation
Bake strict security controls into the automated provisioning process, ensuring end-to-end alignment with HIPAA, institutional policies, and research data security standards.
Establish best practices for DevSecOps, including automated vulnerability scanning, secret management, and compliance-as-code.
Design and maintain immutable infrastructure patterns that enforce granular access control, precise audit logging, and strict data governance across the WHDH ecosystem.
It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. The selected candidate must reside within the State of Wisconsin or move to the State within a reasonable time frame from the start date of the position.
Key Job Responsibilities:
  • Architects and manages containerized and distributed computing platforms that enable advanced analytics, machine learning, AI-driven research workloads, and high-performance data processing in secure cloud environments.
  • Collaborates with engineers, data scientists, architects, and research stakeholders to deliver scalable platform solutions that enable authorized users to securely access, process, and analyze distributed biomedical datasets.
  • Builds and optimizes observability frameworks, including monitoring, logging, alerting, and performance management solutions, to ensure system health, resiliency, and rapid incident response.
  • Manages, maintains, selects, and develops automation tools and infrastructure, including security configurations
  • Performs integration, migration, configuration, and security of existing applications and services into automated infrastructures
  • Serves as a subject matter expert to internal stakeholders, providing guidance and training to staff
  • Designs and implements platform capabilities that support secure data sharing, federated access, identity and access management, and privacy-preserving workflows while maintaining rigorous security and governance controls.
  • Serves as technical lead for one or more aspects of the system
  • Develops, programs, and/or deploys automation workflows for deployment, configuration, and/or monitoring of systems/services
  • Analyzes requirements and communicates and coordinates with staff and internal stakeholders related to the system and/or project

Department:
School of Medicine and Public Health, Office of Informatics, Wisconsin Health Data Hub.
The Wisconsin Health Data Hub (WHDH) is a grant-funded initiative within the Information and Information Technology (IIT) Division at the University of Wisconsin-Madison School of Medicine and Public Health. WHDH brings together a multidisciplinary team of technologists responsible for designing, implementing, and operating a secure data enclave that supports the responsible use of real-world health data for biomedical research.
The WHDH team develops and manages a scalable data platform that enables researchers to efficiently access, integrate, and analyze large-scale health datasets from participating health systems. By providing advanced data services, governance frameworks, and analytical capabilities, WHDH accelerates the research lifecycle-from project conception and data acquisition to analysis and discovery-while ensuring compliance with applicable regulatory, privacy, and security requirements.
Compensation:
The starting salary for the position is $115,000 annually; but is negotiable based on experience and qualifications.
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage.
SMPH Faculty /Academic Staff Benefits Flyer 2026
Required Qualifications:
  • 8 years of experience designing, implementing, and maintaining enterprise-scale cloud infrastructure and automated environments.

  • Expertise with cloud-native platform orchestration (e.g., AWS, Azure, GCP) and managing infrastructure for distributed data solutions or containerized environments (e.g., Kubernetes, Docker).

  • Experience designing secure CI/CD deployment pipelines, automation workflows, and robust infrastructure integration frameworks.

  • Familiarity with healthcare or biomedical research data environments and relevant regulatory security compliance (e.g., HIPAA).

Preferred Qualifications:
  • Experience implementing DevSecOps practices, cloud-native security controls, and compliance-as-code within regulated healthcare data standards or interoperability frameworks.

  • Experience building and optimizing infrastructure to support AI/ML pipelines, MLOps, and advanced analytics workloads.

  • Expertise with securing and automating infrastructure for federated data platforms and multi-institutional data collaborations.

  • Experience working in federally funded research programs or academic research environments.

  • Strong documentation skills (e.g., creating architecture diagrams, runbooks) and proven technical leadership skills.

Education:
Bachelor's degree preferred; focus in Computer Science, Information Systems, Software Engineering, or a related technical field preferred
How to Apply:
For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials.
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.
• Cover letter (required)
• Resume (required)
Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
University sponsorship is not available for this position, including transfers of sponsorship and TN visas.The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.This position is an ongoing position that will require continuous work eligibility.If you are selected for this position you must provide proof of work authorization and eligibility to work.
Contact Information:
Cody Roekle, croekle@wisc.edu, 16082637676
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
Institutional Statement on Diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.
The University of Wisconsin-Madison is an Equal OpportunityEmployer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgroundsand encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website.
To request a disability or pregnancy-related accommodationfor any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR)in the division you are applying to.Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment.
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

What University Of Wisconsin-Madison employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


University of Wisconsin logo

About University of Wisconsin

Sourced by ZipRecruiter

The University of Wisconsin, based in Madison, WI, US, functions in the educational industry and is a renowned and respected institution for higher education. Its official website is wisc.edu. Established in 1848, this public research university is recognized globally for its innovative approach to education, research, creativity, and public service. It embodies a strong commitment to academic freedom and academic excellence. As a major contributor to the Wisconsin Idea, it aims to accomplish its mission of generating well-rounded individuals who will contribute substantially to society, the local community, and the global economy.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Madison, WI, US

Year founded

2005