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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 | |
REQUIRED QUALIFICATIONS | |
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 | |
DESIRED QUALIFICATIONS | |
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 | |
WHAT GDIT CAN OFFER YOU | |
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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