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Signature Federal Systems , LLC is seeking a mid-career HPC Software Engineer Sr Staff to work on-site in Colorado Springs with a dedicated R&D customer. The role focuses on porting, optimizing, and parallelizing codes, mentoring TUS team members, and delivering training workshops to improve performance and usability of HPC tools.
You will collaborate with the Chief Scientist and TUS team lead to design solutions for modeling, simulation, data needs, and performance analysis, including
Software Engineer Sr Staff (Location: Colorado Springs, CO)
We are seeking a mid-career level HPC Software Engineer that will work in a High Performance Computing (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 site staff while on-site with 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.
You will mentor junior members of the TUS and broader HPC teams, providing technical guidance, code‑review sessions, and career‑development advice. You will also design and deliver training workshops, tutorials, and documentation to help end‑users and internal staff adopt HPC tools, best‑practice coding standards, and performance‑tuning techniques.
This position will be on-site with a specific customer focused on 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 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 are also responsible for helping users adapt to a production shared resource, its scheduling system, and its high performance data storage systems.
An individual should have demonstrated their flexible, adaptive, problem‑solving ability.
In order to be successful in this role, you will have a degree (BS) in a STEM related discipline with solid mathematics and/or physics background and experience in some combination of modeling and simulation, Fortran and/or C languages, Python, Korn, BASH, and/or Perl scripting, compilers, software benchmarking, system analysis, algorithm and/or software design.
Active Top Secret/SCI with a CI Poly to start.