Jobs · Engineering · Texas

Director for Emerging Technologies and Research

Texas A&M University · College Station, TX · 1 wk ago
Engineering$30/hrFull-time

About the role

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. The Texas A&M High Performance Research Computing (HPRC) is an interdisciplinary research center advancing computational and data-enabled science and engineering. We are seeking a skilled and dependable Director of Emerging Technologies and Research who has a proven ability to prioritize and manage complex and innovative projects and establish vision and direction within a fast-moving, challenging, and energetic AI/HPC environment.

Responsibilities

  • Provides consultation support to faculty, staff, and students in the use of scientific software applications and various high performance computing technologies, resolves problems, and improves the level of HPRC user services.
  • Leads and participates in research projects as Principal Investigator (PI) and Co-PI funded by National Science Foundation (NSF), Texas Workforce Commission (TWC), National Security Agency (NSA) and other funding agencies.
  • Directs and develops the HPRC User Services with a mission to provide new researchers a robust suite of support services for high-performance computing and big data analysis solutions.
  • Provides supervision and professional development of HPRC User Services consultants, staff, research scientists, undergraduate student workers, and graduate student research assistants required to operate the growing HPRC User Services.
  • Researches and evaluates emerging HPC, AI, quantum computing, and data analysis technologies related to the advanced Cyberinfrastructure, hardware, software, networking, provisioning, composability, and cloud computing.

Requirements

  • Bachelor’s degree in computer science or a science/engineering field or an equivalent combination of education and experience.
  • Ten years of progressively responsible management experience in research computing or computational sciences including three years of supervisory experience, and experience using High Performance Computing (HPC) systems with an emphasis on distributed computing technologies and computational methods and experience with NSF-funded or other major national or international HPC systems such as ACCESS.
  • Strong working knowledge of HPC and Cloud systems.
  • Strong analytical and computational skills.
  • Strong project and team management skills.
  • Ability to cultivate and maintain professional working relationships.
  • Ability to multi-task and work cooperatively with others.

Qualifications

  • Ph.D. in relevant science or engineering discipline requiring strong analytical and computational skills.
  • Five years of experience in managing large HPC projects and user support staff.
  • Knowledge of resource management systems such as SLURM, and PBS; job scheduler such as Moab, SLURM; different compilers on multiple platforms; and HPC resource capabilities at Texas A&M, within the state of Texas and at the national level (NSF centers, DOE programs, etc.).
  • Experience in High Performance Computing usage at universities and other national HPC centers.
  • Experience in building, optimizing, and supporting various scientific libraries and codes for HPC systems.
  • Experience in conducting research using HPC and cloud computing resources for modeling and simulation.
  • Extensive experience in writing proposals and securing research grants.

Benefits

  • Health, dental, vision, life and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
  • 12-15 days of annual paid holidays
  • Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
  • Automatically enrollment in the Teacher Retirement System of Texas
  • Health and Wellness: Free exercise programs and release time
  • Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
  • Employee Tuition Assistance and Educational Release time for completing a degree while a Texas A&M employee

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