Cloud High Performance Computing HPC SME

GAMA-1 has an exciting opportunity for you to join as a Cloud HPC SME working in Silver Spring, MD. 
We are seeking a Computational Scientist with Cloud experience to support a cloud contract supporting the National Environmental Satellite, Data, and Information Service (NESDIS), a Line Office under NOAA.
The Cloud HPC SME will provide expertise with the integration of scientific algorithms in a cloud-based high performance computing (HPC) environment.
The Cloud SME will work with scientists at NESDIS to understand the algorithm design, leverage his or her knowledge of HPCs to work with the scientists to optimize the algorithm for an HPC environment (scalability, parallelization), and then integrate the algorithm in the GAMA-1 Product Generation (PG) Cloud HPC Framework.
Responsibilities:
·        Work with scientists to design and algorithms that run in an HPC framework
·        Provide expertise to scientists to help them optimize the for parallel processing and scalability
·        Architect, Design, and Deploy HPC data processing Pipelines - Scheduling
·        Operate and manage HPC cluster framework that can operate on any Cloud Service Provider (i.e. AWS, Azure, GCP) architecture level to be able to Design and build operational framework for HPC cluster environment
·        Must have in-depth knowledge with HPC software
·        Familiar with running multiple cores, understand scalability, and high availability
·        Participate and potentially lead technical presentations on the work
·        Participate in team meetings and interact with funding clients
·        Optimize HPC framework using native-cloud services (serverless)
 
Qualifications:
·        5+ years Professional Linux experience
·        5+ years cluster management experience
·        5+ years storage experience
·        Bachelor of Science (BS) + 5 Years Experience or Master of Science (MS) + 3 Years Experience or Doctor of Philosophy (PhD) + 1 Year Experience
·        Area of Study : Computer Science; Computer Engineering; Mathematics; Physics
·        Experience with parallel and multiprocessing programming interfaces including OpenACC, MPI, and / or OpenMP
·        Experience with common scientific software and libraries such as LAMMPS, FFTW, NAMD, R, and MATLAB
·        Experience with HPC Schedulers and Resource Managers such as Slurm, Torque, Moab, and / or LSF
·        Strong scripting skills in shell and / or python
·        Demonstrated use of a configuration management tools (Puppet, Ansible, or similar technologies)
·        Ability to use, and build ways to use, automation frameworks
·        Extensive experience implementing HPC solutions in a commercial cloud environment, specifically with Amazon Web Services (AWS), Google Cloud Platform (GCP), and / or Microsoft Azure
·        Excellent written, oral, and verbal communication skills
·        Ability to obtain a Public Trust clearance
·        US Citizenship and must continuously reside in the United States for the last two years
 
Desired Qualifications:
·        Extensive experience implementing HPC solutions in a commercial cloud environment, specifically with Amazon Web Services (AWS), Google Cloud Platform (GCP), and / or Microsoft Azure
·        5+ years of experience working with PBS Pro for optimizing, job scheduling and workload management in HPC environments;
·        Extensive experience satellite data processing
·        Extensive experience in docker container
·        Ph.D. in Computer Science, Computer Engineering, Mathematics, or a closely related technical area
·        GAMA-1 is committed to the development of a creative, diverse and inclusive work environment.
·        In order to provide equal employment and advancement opportunities to all individuals, employment decisions at GAMA-1 will be based on merit, qualifications, and abilities.
·        GAMA-1 does not discriminate against any person because of race, color, creed, religion, sex, national origin, disability, age, IWDs, Veteran Status or any other characteristic protected by law (referred to as "protected status.
 

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