Computing Manager

University of Wisconsin-Madison

. Manage IceCube computing facilities and services, primarily at UW-Madison .

Posted 9/16/2026full-timeMadison • Wisconsin • United StatesMid-LevelSenior💰 $135,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing large-scale scientific computing facilities and services, with a focus on distributed High Throughput Computing, data integrity, and operational efficiency. Proven ability to lead IT teams, collaborate across institutions, and guide technical direction in cyberinfrastructure projects.

Highest-signal resume keywords

Distributed High Throughput ComputingTeam Leadership and MentoringCyberinfrastructure ManagementLarge Data Set AnalysisCollaboration Across Institutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Research Computing SystemsData Analysis TechniquesPerformance ReportingOperational PlanningTechnical Direction Guidance

Soft Skills

CollaborationCommunicationMentoring

Tools & Technologies

Cloud Computing (IaaS)Cybersecurity StandardsMiddleware ServicesNetworking Support

Certifications & Qualifications

Master's Degree in Physics or Computer Science

Industry Keywords

Scientific ComputingData IntegrityCompliance PoliciesResearch and DevelopmentMulti-Institutional Collaboration

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Manage IceCube computing facilities and services, primarily at UW-Madison
Provide timely access to data and computing services for the IceCube Collaboration
Lead a team of eight to ten IT professionals
Ensure the integrity and availability of IceCube data
Manage operations, upgrade plans, and improvements for computing infrastructure at UW-Madison and the South Pole, including hardware and middleware services
Coordinate distributed computing infrastructure with collaboration partners to maximize usage and efficiency
Work with user group leads to track computing requirements and develop operational plans
Pursue research and development in large-scale scientific computing
Identify opportunities to reduce annual operating costs while maintaining reliability and performance
Report performance and usage of IceCube computing services to the collaboration and NSF
Work with the IceCube Software and Computing Advisory Panel
Provide computing, storage, networking, and security support for WIPAC researchers and associated experiments
Advise leadership on cyberinfrastructure topics and participate in institution-wide IT and research computing initiatives
Direct technical aspects of cyberinfrastructure projects and contribute to research computing, data science, and CI proposals
Plan, design, develop, modify, debug, deploy, and evaluate complex research computing systems and workflows
Contribute to research and CI policy development
Prepare project status and technical research reports for professional organizations, sponsors, review boards, and design reviews
Exercise supervisory authority over at least 2.0 FTE employees
Coordinate technically with internal and external stakeholders
Manage research and technical staff providing CI resources and support
Direct the design, implementation, and recommendation of new hardware and software technologies

Requirements

What you’ll need

5+ years of hands-on and strategic IT experience
Experience leading and mentoring a team of computing and/or software professionals
Proven ability to collaborate across multi-institutional scientific or academic collaborations
Hands-on background in and high-level architectural oversight of distributed High Throughput Computing and storage services for large data sets
Experience coordinating access and operations across remote and/or distributed computing centers
Experience summarizing performance, requirements, and operational plans in reports for internal leadership and/or federal grant sponsors such as NSF
Experience presenting infrastructure strategies at conferences or through publications
Master's degree or higher required in Physics, Computer Science or related field
Ability to guide long-term technical direction with non-technical decision-makers, faculty, and external partners
Understanding of scientific data formats and large-scale data analysis techniques
Experience integrating and orchestrating workloads across partner clusters, commercial clouds (IaaS), and external supercomputing centers
Familiarity with cybersecurity standards, threat mitigation, and compliance policies in distributed scientific environments
Employment may require a criminal background check
References may be required to answer questions regarding misconduct, including sexual violence and sexual harassment

Benefits

Comp & perks

Salary negotiable based on experience and qualifications
Equal opportunity employment
Consideration for disability or pregnancy-related accommodations during the hiring process
Employment may include a criminal background check and misconduct reference checks