Research Cyberinfrastructure Architect, UNLV Research [R0152139]

Overview The University of Nevada, Las Vegas (UNLV) invites applications for the Research Cyberinfrastructure Architect, UNLV Research [R0152139]. The position has a strong technical background in research computing and a passion for empowering new users of advanced cyberinfrastructure (CI). The role is part of a collaboration between UNLV IT and the Division of Research to deliver cutting edge technology and supportive CI services. 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. It requires experience collaborating with IT teams in implementing research technologies that include high performance computing, research networks, cloud computing, and AI/ML technologies. An inclusive and innovative outlook is important to lowering barriers to proficiency in advanced computing technologies. Key Responsibilities 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 with researchers and UNLV IT teams to understand computational requirements and translate them into scalable 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. Knowledge Required: Knowledge of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers such as Slurm, and scientific applications). Required: Expert knowledge of database, filesystem, networking, server, operating system, and software concepts applicable to team science, cloud architecture, cluster computing, and user management. Required: Familiarity with facilitation techniques used to engage researchers from diverse disciplines. Preferred Knowledge Knowledge of containerization technologies (Kubernetes, Singularity, etc.). Knowledge of managing GPUs, MPI, InfiniBand, XDMod. Knowledge of AI/ML Packages. Understanding of data-related technologies (e.g., data management plans, data workflows, identity and access management, cloud technologies). Skills Required: Experience developing strategic plans, gathering key performance data, and achieving consensus among diverse stakeholders. Required: Experience leading technically complex projects across multiple disciplines and end-users. Required: Experience with science and research networks. Required: Experience in software infrastructure design, deployment, and management. Required: SME-level understanding of UNIX/Linux systems administration. Required: Experience managing HPC IT systems and services through their full lifecycles in an academic or research setting. Preferred Skills Experience in designing/deploying data workflows for distributed computing systems. Experience with grant writing for science or engineering research, technology R&D, or infrastructure. Experience contributing to national research and data communities through workgroups, papers, presentations, or conferences. Experience designing or implementing HPC workforce development programs. Abilities Required: Ability to work without direct supervision. Required: Ability to communicate complex data system designs to peers and researchers. Required: Ability to lead and delegate to staff with varying strengths. Required: Ability to manage multiple projects and meet deadlines; ability to decide on strategic technology platform directions. Required: Professionalism and collegiality. Minimum Qualifications This position requires a bachelor’s degree from an accredited college or university and 5+ years of experience. Credentials must be obtained prior to the employment start date. Experience working in a higher education or research-intensive setting. Demonstrated success in working with a research team supported by federal and/or regional research grants. 5+ years of experience in HPC architecture or a related field. Preferred Qualifications Experience developing plans in research computing, data, and cyberinfrastructure within an academic setting. Experience designing and implementing HPC systems and solutions. Familiarity with parallel computing, distributed systems, and cloud integration. Commitment to Diversity and Campus Values A successful candidate will support diversity, equity, and inclusiveness and contribute to a respectful, positive work environment. They will use our Campus Values to guide decisions and actions. Salary and Benefits Salary range is $120,000 to $130,000. This posting notes that it cannot offer more than the stated range. Notes : This description does not include every duty or responsibility of the position and is subject to change. The University may require a criminal background check and credential verification as part of the hiring process. Veterans are encouraged to apply. For assistance with the application process, please review instructions on How to Apply and contact UNLV Human Resources as needed. #J-18808-Ljbffr University of Nevada-Las Vegas