BACKGROUND

RESPONSIBILITIES

• Perform architecture design and day-to -day operational maintenance, support and upgrades for a 3000+ core high performance compute cluster.
• Support various platforms including Red Hat Enterprise Linux and CentOS.
• Develop and implement innovative and complex solutions, ensuring that upgrades and changes comply with established guidelines and processes.
• Help further develop and execute high performance computing solutions using cluster/grid technologies.
• Serve as a senior member of the team responsible for the planning and development of a robust and scalable management infrastructure for Linux computing resources.
• Apply in-depth HPC and Linux expertise to collaborate with stakeholders across IT and domain disciplines to expand HPC use in support of world class, cutting-edge scientific research.
• Advise on HPC technology directions and investments and assist with the resolution of the most difficult system problems.

REQUIREMENTS

• Bachelors degree and 6+ years experience or equivalent combination of education and experience
• 5+ years of experience with Linux/Unix variants, especially RedHat/RHEL and its derivatives
• 5+ years of experience supporting high performance clusters with Grid Engine experience (in any variant) or other schedulers such as PBS, Moab, or SLURM
• Hands-on experience supporting IBM Spectrum Scale (formerly GPFS)
• Demonstrated working knowledge of popular bioinformatics applications and ability to compile, package, install, and upgrade software as well as assist researchers with job submission scripts
• Experience architecting and supporting Infiniband networks
• SAN/NAS hardware experience
• Ability to clearly present ideas to both technical and non-technical users in formal and informal settings
• Demonstrated decision-making skills and leadership ability to assist with management of project portfolio and daily operations for team

PREFERENCES

• Automation/configuration management experience (Chef, Puppet, Ansible, Salt, etc.)
• Scripting experience (Perl, Python, Ruby, R, bash, etc)
• Experience running parallel jobs with OpenMP or MPI
• Knowledge of GPU computation and CUDA
• Experience configuring and running BrightCluster Management Software

TERMS

LOCALE

COMPENSATION

HOW TO APPLY

DEADLINE

POLICY