Research Computing Infrastructure Specialist (Req. 29411)

Job description

UCLA’s Office of Information Technology has a unique opportunity for an innovative mid-career professional interested in utilizing cutting-edge research computing knowledge and skills to as part of a campaign to support the University’s research mission. As a Research Computing Infrastructure Specialist, you will draw on a broad set of technological, creative, problem-solving, and communication skills in order to accelerate and facilitate the ambitious research of world-class researchers and faculty.

In this role, you will have a chance to work directly with faculty and researchers on a variety of discipline-specific and multi-disciplinary research computing challenges. You will provide advanced technical direction and consultation to faculty, researchers, and other IT and research support units on these complex challenges, and will serve as an advocate for advanced research computing. Beyond that, you will assist OIT’s Research Technology Group (RTG) in larger, ongoing efforts to develop, maintain, and support critical shared campus research cyberinfrastructure.

Job Responsibilities

  • Work with other members of the RTG to strategize, design, pilot, and implement integrated cyberinfrastructure that connects researchers with on- and off-premise HPC compute and storage systems
  • Work directly with faculty and researchers across campus to better support UCLA research computing needs
  • Recommend enhancements to the campus cyberinfrastructure that will enable seamless growth as technologies and advanced research computing requirements change over time
  • Evaluate, design, and implement new technological and methodological solutions to campus-wide or discipline-specific advanced research computing problems
  • Participate in projects to upgrade the existing advanced research compute environment to new platforms and operating systems
  • Diagnose and resolve hardware and software problems related to the Hoffman2 advanced research cluster both independently and in conjunction with senior OIT personnel
  • Analyze and develop reporting mechanisms related to Hoffman2 system performance and analytics and other RTG systems
  • Monitor systems for security and performance problems and take preemptive or corrective action as necessary
  • Maintain and upgrade technical, operational, and user documentation related to the campus computing environment

Minimum Qualifications

  • Technical mastery of system internals, operating systems, and networking
  • An understanding of hardware interrelationships
  • Extensive experience with cloud computing, HPC job scheduling (Slurm), and software engineering and installation
  • Complex technical problem-solving abilities
  • Outstanding communication skills that allow for highly technical discussions with faculty and researchers
  • Ph.D. in a related field plus a minimum of three years’ experience with advanced research computing preferred, or commensurate work experience
  • Knowledge of and demonstrated experience with large-scale HPC environments in order to enable execution of tasks that could include high-level systems issues and upgrades, programming, and the development of technical proof-of-concept projects
  • Completion of a programming skills assessment prior to hiring

Preferred Qualifications

  • Demonstrated experience with Kubernetes and containerized environments
  • Web development skills
  • An understanding of methods for handing restricted data in an academic computing setting

The University of California is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

 

 

 

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Job No: 29411
Posted: 1/18/2019
Application Due: 4/17/2019
Work Type:
Salary: Salary is commensurate with experience.