National Renewable Energy Lab (NREL)
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National Renewable Energy Lab
Full Time
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HPC System Engineer

The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado, is the nation’s primary laboratory for research, development, and deployment of renewable energy and energy efficiency technologies. The NREL Computational Science Center (CSC) has an immediate opening for a Senior HPC Systems Engineer. This senior position is responsible for implementing and operating HPC systems and infrastructure in support Technical computing in support of NREL’s mission.


Job duties and responsibilities of the position:


Vision and Planning:

Help develop and articulate vision, and strategic planning for the Computational Science Center’s (CSC) High Performance Computing System Operations Team.
HPC System architecture, design, implementation and integration to serve the diverse computing needs of the HPC User Facility.
Develop technical specifications for HPC system procurements based on input from current and potential HPC system users.
Technology Tracking:

Assess new computing technologies and the feasibility of system enhancements to determine potential value.
Identify emerging Computing and Storage technologies to be assimilated, integrated, and introduced within HPC Systems.
Implement technology tracking testbeds and help adapt workload to new architectures.
Day-to-Day Operations:

Demonstrate leadership for the “day-to-day” and ongoing project work and operations of the HPC environment and Energy Systems Integration Facility(ESIF) data center operations.
Maintain the integrity and continual operation of the computing, parallel and archival storage systems, and data center networks.
Maintain cyber security and privacy of the information and computing systems, communication lines, and equipment.
Soft Skills: (Communication/Team/Leadership):

Strong interpersonal and communication skills and ability to work as a team player is required.
Must be a proactive and solution-oriented problem solver.
Ability to bridge gaps between domain language (engineering, science) and computing solution language.
Customer focused.
Proven ability to embrace and drive change.
Clear dedication to excellence and advancing beyond the current state.
Strong personal motivation.
Good networking skills, able to develop and maintain relationships with wider Scientific Computing community.