Research Cyberinfrastructure Architect, UNLV Research R0152139

Job Title

Research Cyberinfrastructure Architect, UNLV Research [R0152139]

The research cyberinfrastructure architect has a strong technical background in research computing and a passion for empowering new users of advanced cyberinfrastructure (CI). UNLV is an emerging R1, EPSCoR institution with a growing investment in expanding cyberinfrastructure. The position is part of a collaboration between UNLV IT and the Division of Research to leverage all opportunities in delivering cutting edge technology and supportive cyberinfrastructure services.

As part of a growing team focused on delivering a wider range of solutions through collaboration with enterprise IT staff, faculty, students and regional and national research data and computing community, the research computing architect is a collaborator who enjoys a key role in delivering high-performance computing (HPC) ecosystems with user-friendly solutions for data intensive research and teaching. The architect partners with campus stakeholders to architect and implement IT infrastructure services that sustain current research and prepare to support research and teaching of emerging technologies.

The position helps to develop and maintain systems, storage, networking and data architecture to support research, teaching, and workforce development. The role is designed for an individual who is looking to enjoy a more impactful role in building systems to accelerate research and transform data‑intensive learning experiences. The position requires experience collaborating with IT teams in implementing research technologies that include high performance computing, research networks, cloud computing, and AI/ML technologies.

Equally important is an inclusive and innovative outlook, towards lowering the barriers to gaining proficiency in advanced computing technologies and using advanced computing.

• 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 of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific applications)
• Expert knowledge of database, file system, networking, server, operating system, and software concepts directly applicable to team science, internet‑of‑things, cloud architecture, cluster computing, and user management.
• Familiarity with facilitation techniques used to engage researchers from a variety of disciplines.

Preferred

• Knowledge of containerization technologies (Kubernetes, Singularity, etc.)
• Knowledge of managing GPUs, MPI, Infini Band, XDMod
• Knowledge of AI/ML Packages
• Understanding of at least two or more additional technologies listed (data structures related to research, data management plans, data‑facing scientific instruments, data workflows, data staging and transfer systems, identity and access management, software utilized in research and cloud technologies)

Required

• Experience in developing strategic plans and initiatives, gathering key performance and requirements, and achieving consensus among diverse and potentially competitive 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 in software infrastructure design,…