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justinpitts/Foo Secret

Created Jun 12, 2020
What would you like to do?
As a Sr. High Performance Computing Engineer, you will be working with a 3000+ core HPC cluster, implementing and supporting bioinformatics applications for a large research community, and creating scalable and optimal solutions.
In this role, a typical day will include:
Maintaining a 3000+ core high performance compute cluster designed to support genomics, molecular dynamics, proteomics, phylogenetic(s), and deep learning research
Developing and implementing innovative and complex solutions, ensuring that upgrades and changes comply with established guidelines and processes
Monitoring and reporting on cluster performance, install and configure complex bioinformatics applications, and assist with the resolution of the most difficult system problems
Helping further develop and execute high performance computing solutions using cluster/grid technologies
Collaborating with researchers understanding their scientific pipelines, implementing efficient, technical solutions
Advising on HPC technology directions and investments and making technical presentations to other technical personnel and department leadership
BA/BS or equivalent and eight years related experience or a MS and six years' 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)
Hands-on experience supporting IBM Spectrum Scale (formerly known as IBM GPFS)
Demonstrated working knowledge of popular bioinformatics applications and ability to compile, package, install, and upgrade software as well as assist researchers with configuring job submission scripts and troubleshooting application issues
Scripting experience (Perl, Python, Ruby, R, bash, etc.)
Automation/configuration management experience (Puppet, Ansible, Chef, Salt, etc.)
Able 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
Must be able to obtain a NIH Public Trust
Experience architecting and supporting InfiniBand networks
Experience running parallel jobs with OpenMP or MPI
Knowledge of GPU computation and CUDA
Experience configuring and running Bright Cluster Management Software
Experience supporting LDAP/IPA, NFS, Samba, Web servers, and system hardening
Opportunity to participate in an evolution movement to support medical research
Opportunity to stay at the forefront of high-performance computing
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