Research Cyberinfrastructure Architect, UNLV Research R0152139

Role Overview

The research cyberinfrastructure architect has a strong technical background in research computing and a passion for empowering new users of advanced cyberinfrastructure (CI). The position helps to develop and maintain systems, storage, networking, and data architecture to support research, teaching, and workforce development. This role is designed for an individual who wants to build systems to accelerate research and transform data‑intensive learning experiences.

The position requires experience collaborating with IT teams to implement research technologies including high‑performance computing, research networks, cloud computing, and AI/ML technologies. An inclusive and innovative outlook toward lowering the barriers to proficiency in advanced computing is essential.

• Architectural Leadership:
  Lead the design and development of HPC solutions, ensuring alignment with the university’s strategic objectives and research needs.
• Solution Design:
  Develop architectural blueprints and roadmaps for HPC systems, including hardware, software, and networking components.
• Collaboration:
  
  Work closely with researchers and UNLV IT teams to understand computational requirements and translate them into scalable and efficient HPC solutions.
• Technology Assessment:
  Evaluate emerging technologies and trends in HPC to inform strategic planning and decision‑making.
• Governance and Standards:
  Establish and enforce architectural standards and best practices to ensure consistency and quality across HPC solutions.
• Documentation and Communication:
  Create and maintain comprehensive documentation for HPC architectures and provide training and guidance to stakeholders.

Required Knowledge

• HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers such as Slurm, scientific applications).
• Database, file system, networking, server, operating system, and software concepts applicable to team science, Internet‑of‑things, cloud architecture, cluster computing, and user management.
• Facilitation techniques used to engage researchers from a variety of disciplines.

Preferred Knowledge

• Containerization technologies (Kubernetes, Singularity, etc.).
• Managing GPUs, MPI, Infini Band, XDMod.
• AI/ML packages.
• Understanding of at least two additional technologies related to research data management, data workflows, identity and access management, or cloud technologies.

Required Skills

• Experience developing strategic plans and initiatives, gathering key performance requirements, and achieving consensus among diverse stakeholders.
• Experience leading the implementation of technically complex projects affecting many end‑users across multiple disciplines and functional areas.
• Experience with science and research networks.
• Experience with software infrastructure design, deployment, and management.
• Subject‑matter‑expert level understanding of OS (especially Unix/Linux) systems administration.
• Experience managing HPC information technology systems and services through their full life cycles in an academic or research agency environment.

Preferred Skills

• Experience designing or deploying data workflows, especially for team science across distributed computing systems and networks.
• Successful technical grant writing for science or engineering research, technology R&D, and/or technology infrastructure.
• Contribution to national research and data communities through work groups, best‑practice papers, presentations, or hosting technology sessions.
• Experience designing or implementing HPC workforce‑development programs.

Required Abilities

• Work without direct supervision.
• Learn, deeply understand, and communicate the salient aspects of complex and novel research data system designs and architectures to peers and scientific/engineering personnel.
• Effectively lead, supervise, manage, or delegate to staff whose expertise may not closely align with the architect’s own strengths.
• Determine and communicate strategic technology platform decisions supporting key research and science‑based service missions across the university and NSHE institutions.
• Manage multiple projects and meet deadlines.
• Demonstrate…