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. You 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. 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 are 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. This includes understanding best use 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 his/her flexible, adaptive, problem-solving ability.
Responsibilities
- Work with HPC users to achieve faster 'time to science'.
- Port, optimize, and parallelize codes to meet user requirements.
- Conduct system performance analysis through benchmarking and tuning libraries.
- Focus on scientific modeling, numerical processes, and other scientific software issues.
- Investigate, analyze, and make recommendations regarding user codes and HPC software issues.
- Understand best use practices for HPC resources, research storage systems, and secure computing environments.
- Help users adapt to a production shared resource and its scheduling system.
Requirements
- 5+ years of experience developing system software in heterogeneous, multi-platform environments.
- Proficiency with Fortran, C, and/or C++.
- Experience with one or more of Python, BASH, Korn, and/or Perl.
- Linux Operating System knowledge and ability to solve end-user computer system problems.
- Experience with Linux RedHat Operating Systems, Computer Networking, and Communications Systems.
- Experience with RedHat Satellite or other provisioning software.
- 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.
- Solid understanding of the software development process including requirements, use cases, design, coding, documentation, and testing of scalable, distributed applications in a Linux environment.
- Must have TS//SCI with CI Poly to start.
Nice-to-haves
- Strong communication skills and a results-oriented team player.
- Good organization skills to balance and prioritize work, and ability to multitask.
- Familiarity with High Performance Computing (HPC) environment and related technologies.
- Experience with revision control software (CVS, SVN, Git).
- Experience with a variety of build/install tools (e.g. CMake, Makefile, autoconf).
- Experience with Splunk, Security Center, Nessus.
- Experience with Lustre, NFS, file system.
- Working with customer/user representatives.
- Agile process and Core Digital Transformation knowledge of Atlassian suite (confluence, JIRA etc).
- AI/ML/Neural Networks experience.
Benefits
- Medical
- Dental
- 401k
- Paid time off
- Work/life balance
- Career development
- Mentorship opportunities
- Rewards & recognition
