We are seeking an innovative, dedicated, and highly-motivated High Performance Computing (HPC) Engineer to solve challenging problems for our client, a large scientific and medical research agency. If working with a 3000+ core HPC cluster, implementing and supporting bioinformatics applications for a large research community, and creating scalable and optimal solutions sounds interesting to you, then please apply. The High Performance Computing Engineer will be responsible for the architecture design, life-cycle upgrades, and feature enhancements for a 3000+ core high performance compute cluster designed to support genomics, molecular dynamics, proteomics, phylogentics, and deep learning research. The Sr. HPC Engineer will develop and implement innovative and complex solutions, ensuring that upgrades and changes comply with established guidelines and processes. They will monitor and report on cluster performance, install and configure complex bioinformatics applications, and assist with the resolution of the most difficult system problems. The Sr. HPC Engineer will help further develop and execute high performance computing solutions using clustergrid technologies. They will be a leading expert on high performance computing and mentor colleagues. The successful candidate will 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. The Sr. HPC Engineer will collaborate with researchers understanding their scientific pipelines, implementing efficient, technical solutions. They will develop functional and technical IT system requirements and specifications, conduct needs analysis, planning and scheduling the installation of a wide variety of new or modified hardwaresoftware. They will advise on HPC technology directions and investments and make technical presentations to other technical personnel and department leadership. Specific Skills 5+ years of experience with LinuxUnix variants, especially RedHatRHEL 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) Automationconfiguration 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 Desired Skills SANNAS hardware experience 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 LDAPIPA, NFS, Samba, Web servers