Research Cyberinfrastructure Engineer, UNLV Research R0152643

Research Cyberinfrastructure Engineer

The University of Nevada, Las Vegas invites applications for Research Cyberinfrastructure Engineer, UNLV Research [R0152643]

The research cyberinfrastructure engineer has experience 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 this 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 engineer is a collaborator who enjoys a key role in helping researchers employ advanced technology to improve research outcomes.

The position helps to develop and maintain systems, storage, networking and data architecture to support data-intensive research, teaching, and workforce development. The role is designed for an individual who is looking to enjoy a more impactful role in collaborating with IT teams in implementing research technologies that include high performance computing, research networks, AI/ML technologies. Equally important is an inclusive and innovative outlook, towards lowering the barriers to using advanced computing.

Key Responsibilities:

• Install, configure, and maintain HPC hardware and software, including clusters, storage systems, and networking components.
• Monitor system performance and implement tuning and optimization strategies to maximize computational efficiency.
• Provide technical support and guidance to researchers and students using HPC resources, including troubleshooting and resolving issues.
• Implement and maintain security protocols and ensure compliance with university and regulatory standards.
• Collaborate with researchers to understand their computational requirements and assist in the development of custom solutions.
• Develop and maintain comprehensive documentation for HPC systems and provide training sessions for users to enhance their understanding and utilization of HPC resources.

Knowledge

Required

• Knowledge of a variety of HPC systems (CPU, GPU, storage systems, file systems, networking, virtualization, job schedulers (Slurm) and scientific applications) sufficient to understand, seek clarification on the recommendations of technical experts and assist researchers in translating recommendations
• Knowledge of IT systems monitoring, telemetry methods, and basic analytics.
• Understanding of at least one and familiarity with two or more additional technologies listed (data structures related to research, data management plans, data-facing scientific instruments, storage systems, data workflows, data staging and transfer systems, identity and access management, software utilized in research and cloud technologies)
• Familiarity with facilitation techniques used to engage researchers from a variety of disciplines
• Advanced 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.

Preferred

• Knowledge of containerization technologies (Kubernetes, Singularity, etc.)
• Knowledge of managing any of the following GPUs, MPI, Infini Band, XDMod
• Knowledge of AI/ML Packages

Skills

Required

• Experience assisting researchers in translating research challenges into technical solutions
• Triaging complex problems and defining solutions
• Working collaboratively as part of a technical and non-technical team
• Experience in software infrastructure deployment, management, and automation.
• Training non-technical and technical users in the use of cyber infrastructure from a researcher perspective
• Mentoring and/or advising students, postdoctoral researchers, or junior faculty in their academic and professional development
• Experience collaborating with multidisciplinary teams in research, teaching, or service
• Proficiency in Linux…