Full-Time

Associate Vice President

Research Computing and Data

Carnegie Mellon University

Carnegie Mellon University

11-50 employees

University-backed pre-seed fund and accelerator

No salary listed

No H1B Sponsorship

Pittsburgh, PA, USA

In Person

Category
Engineering Management (1)
Required Skills
Machine Learning
Data Governance
Requirements
  • The successful candidate will have a master’s degree, with a PhD preferred, and 10 or more years of experience in research computing, with demonstrated success in leadership roles.
  • Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity.
  • Successful pre-employment background check
Responsibilities
  • Define and execute a university-wide vision for leadership-class research computing and data that aligns with CMU's mission and strategic goals as a world-leading computing and AI university.
  • Expand upon scalable, sustainable models for service delivery, funding, and resourcing.
  • Define CMU’s engagement with Pittsburgh Supercomputing Center in terms of complementary investments and synergies.
  • Represent the university in national and international research computing communities, such as the Campus Research Computing Consortium.
  • Partner with the Office of Government Relations in engaging with local, state, and federal officials, and Business Engagement Center to expand strategic industry partnerships.
  • Lead the expansion of CMU research computing to best-in-class levels, including advanced capabilities in cloud integration and specialized hardware utilization.
  • Develop a roadmap for translational computing that fosters innovative architectures and services that may be scaled across CMU researchers and, potentially, beyond the immediate CMU ecosystem.
  • Oversee the deployment of emerging technologies such as AI accelerators and machine learning frameworks, advanced engineering platforms, and next-gen physics simulations capabilities.
  • Partner with external organizations and vendors to bring cutting-edge solutions to campus.
  • Ensure the security, reliability, and scalability of research computing infrastructure to meet the demands of current and future research.
  • Optimize a multi-year approach to balancing on-premises resources and cloud resources with attention to all factors and ramifications of the approach including sustainability.
  • Continue to develop cyberinfrastructure suited to researchers across all of CMU.
  • Lead the design, build-out, and operational maturation of controlled research data and computing environments across cloud and on-premises platforms, including the policies, technical safeguards, service models, and cross-campus coordination required to support compliant research at scale.
  • Act as the primary liaison for research computing and data across CMU’s colleges, ensuring alignment with and engagement across diverse disciplinary needs.
  • Actively participate in the development of competitive proposals for external funding opportunities.
  • Consult with stakeholders across the university and with partners at PSC to develop an operating model for leadership-class computing resources that enshrines a strategic and equitable approach to ongoing development and refresh, access and utilization, funding model, and user policy.
  • Collaborate with university stakeholders to identify emerging trends and technologies in research computing and data; develop strategies to leverage new technologies for research capabilities.
  • Establish and maintain user support mechanisms to assist researchers in effectively utilizing the research-computing resource
  • Build the capacity to support research involving controlled/restricted data. Ensure CMU adapts and responds to changing regulatory paradigms and competes for funding across a broad spectrum of regulated/restricted research.
  • Collaborate with the Information Security Office and Research Security Office to develop and implement policies and procedures governing the use of research computing resources, ensuring the infrastructure meets stringent security and compliance standards.
  • Collaborate with campus stakeholders to develop a data collection management and governance structure that supports faculty and researchers by providing data collection services and consulting across the full data lifecycle—from creation to long-term preservation and access, including protected health data and other forms of controlled data.
  • Ensure the application of best practices in data management and sharing, including promoting the adoption of the Findability, Accessibility, Interoperability, and Reusability (FAIR) principles to enhance the transparency and accessibility of scientific results.
  • Work closely with academic leaders, faculty, and administrative offices to ensure research computing partnerships align with internal capabilities and enhance the University’s reputation and reach.
  • Build effective internal communication channels as well as resources that help faculty and staff identify, pursue, and manage partnership opportunities.
  • Represent the University externally at conferences, corporate, or industry forums to position CMU as a preferred partner in research, innovation, and societal impact.
  • Build, supervise, and mentor a team of research computing professionals; promote a collaborative and service-oriented culture.
  • Serve as a key connector between internal and external stakeholders, fostering trust, transparency, and shared success in all internal and external partnership activities.
Desired Qualifications
  • PhD in a related field is preferred.
  • Experience building sustainable partnerships across organizational boundaries, including with external partners.
  • Familiarity with and participation in the national research-computing and high-performance computing ecosystem.
  • Demonstrated ability to engage with academic researchers across a wide range of disciplines and comfort levels, from midrange to super users.
  • Record of contributing to successful funding proposals and business-development initiatives.
Carnegie Mellon University

Carnegie Mellon University

View

CMU VentureBridge provides pre-seed funding and an accelerator for startups with at least one CMU-affiliated founder. It offers a 12-week summer program combining virtual and in-person activities, mentorship from experienced founders, and access to a venture network. Each accepted company receives a $25,000 grant from the university, supported by foundations, plus coworking spaces in tech hubs. The program culminates in a Demo Day to pitch to investors, and alumni have raised over $210 million in follow-on funding since 2018.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Pittsburgh, Pennsylvania

Founded

2018

Simplify Jobs

Simplify's Take

What believers are saying

  • VentureBridge '25 invested 14 startups in AI, robotics, healthtech, cleantech sectors.
  • Portfolio companies raised $210M+ in follow-on funding post-acceleration.
  • Demo Day timing aligned with a16z NY Tech Week increases investor visibility.

What critics are saying

  • Y Combinator's university tracks offer $500K vs. VentureBridge's $25K minimum investment.
  • Intuitive Foundation grant ends 2025, eliminating primary funding source for seed checks.
  • Stanford StartX and competing accelerators attract top CMU alumni with superior networks.

What makes Carnegie Mellon University unique

  • CMU affiliation requirement creates exclusive founder network with deep technical talent.
  • Hybrid model across SF, NYC, Pittsburgh provides geographic flexibility for distributed teams.
  • 85+ portfolio companies valued over $1 billion demonstrate proven track record since 2018.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Vacation

Paid Holidays

Professional Development Budget

Wellness Program

Commuter Benefits

Childcare Support