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Lockheed Martin provides Red Hat Enterprise Linux (RHEL)/SE Linux based High Performance Computing (HPC) services throughout the lifecycle for computational requirements, architecture, acquisition, and operations to federal government customers. Our employees embrace innovation and are committed to a culture of continuous, standards-driven process improvement and assimilation of industry best practices. The program provides key supercomputing capabilities for solving important problems in science and technology. This work involves working on cutting edge HPC technologies to ensure that scientists and engineers will be able to fully utilize modern HPC systems.
We are seeking a mid-career level HPC Software Engineer who will work on a HPC Research and Development (R&D) customer contract. The candidate will be an active member of the Technical User Support (TUS) team, interacting with the team, TUS team lead, program Chief Scientist, Customers, users, and focused on a specific R&D customer.
The TUS team is responsible for working with HPC users to achieve faster "time to science". You will work closely with the users to port, optimize, and parallelize codes to the users’ requirements.
This position will be focused on a specific customer supporting their workflow, modeling and simulation, and data requirements and working with the program Chief Scientist, TUS team lead, and others to design and implement solutions to meet the customer’s requirements.
You will also be involved in system performance analysis through benchmarking, tuning libraries, and generally focused on scientific modeling, numerical processes, and other scientific software and workflow issues. You will investigate, analyze, and make recommendations regarding user codes and other HPC software issues.
The work will be done using best practices needed to take full advantage of the program’s HPC resources, research storage systems, and secure computing environment. You will also be responsible for providing end-user support for login procedures, thin-client access, desktop/workspace familiarization, and modeling and simulation software environment setup on RHEL/SE Linux HPC systems. This support helps users adapt to a production shared resource, its scheduling system, and its high-performance data storage systems.
