Software Engineer Sr Staff

Lockheed Martin•Colorado Springs, CO

19h•Onsite

About The Position

Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more — we can innovate, invest, inspire and integrate our capabilities to transform the future. At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We’re creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision. We’re erasing boundaries and forming partnerships across industries and around the world. We’re advancing spacecraft and the workforce to fuel the next generation. And we’re reimagining how space can connect us, ensuring security and prosperity. Join us in shaping a new era in space and find a career that's built for you. Lockheed Martin provides Red Hat Enterprise Linux (RHEL)/SE Linux based 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 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. #LI-CS1

Requirements

Bachelor's degree in STEM related discipline and a minimum of 10 years of professional level experience
Around 5 years of experience developing and using modeling and simulation software in heterogeneous, multi-platform environments
Working with HPC users workflow for mod/sim problems and GUIs
Knowledge of High Performance Computing (HPC) environment and related technologies
Demonstrated proficiency with Fortran, C, and/or C++
Demonstrated proficiency with BASH and Korn
Linux Operating System proficiency, ability to solve end-user computer system problems while working independently in a lab environment.
Proficiency in basic software practices such as coding standards, unit testing, and configuration management
Strong ability to analyze, debug, and maintain the integrity of an existing code base
Experience designing and delivering training workshops, tutorials, or onboarding material for HPC users and internal staff
Active Top Secret/SCI with a CI Poly to start.

Nice To Haves

Experience mentoring junior engineers or scientists, providing technical guidance, and conducting code review sessions
Revision control software (CVS, SVN, Git)
Build/install tools (e.g. CMake, Makefile, autoconf)
Experience with Python and Perl
GPU programming experience (e.g., CUDA, OpenCL)
Agile process and JIRA
AI/ML/Neural Networks experience
Good organization skills to balance and prioritize work
Superior programming skills and excellent attention to detail
Strong communication skills a results-oriented team player, creative thinker, and problem-solver

Responsibilities

Work closely with the users to port, optimize, and parallelize codes to the users’ requirements.
Mentor junior members of the TUS and broader HPC teams, providing technical guidance, code‑review sessions, and career‑development advice.
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.
Work with the program Chief Scientist, TUS team lead, and others to design and implement solutions to meet the customer’s requirements.
Involved in system performance analysis through benchmarking, tuning libraries, and generally focused on scientific modeling, numerical processes, and other scientific software issues.
Investigate, analyze and make recommendations regarding user codes and other HPC software issues.
Helping users adapt to a production shared resource, its scheduling system, and its high performance data storage systems.