Systems Engineering - Defense

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.About the TeamThe Lethality Modeling & Simulation team supports high-consequence engineering decisions through advanced modeling, simulation, and scientific computing. The team works across lethality, warhead effects, shock physics, detonation physics, solid mechanics, and related mission-critical analysis areas.This work depends on reliable high-performance computing systems, specialized scientific codes, secure operating environments, and data workflows that allow analysts and engineers to move quickly. The team operates in an on-premises HPC environment and partners closely with engineering, analysis, IT, security, and specialized vendor partners.You will help administer and improve the on-prem HPC systems, scientific code environments, storage, runtime workflows, and tooling that enable analysts to run complex modeling and simulation workloads.In this role, you will maintain and troubleshoot scientific computing systems, support Linux/Unix-based infrastructure, help manage storage and compute resources, and partner with analysts to resolve issues across code, nodes, queues, storage, and user workflows. You will also help develop tools, scripts, and data workflows that improve analyst productivity.The ideal candidate has experience supporting HPC, scientific computing, research computing, or secure engineering computing environments. What You’ll DoAdminister and support on-prem HPC systems used for lethality modeling and simulation workflowsMaintain, install, update, and troubleshoot scientific codes and runtime environmentsDiagnose issues across code, compute nodes, operating systems, storage, queues, and user workflowsSupport Linux, Unix, and Windows administration across a specialized engineering computing environmentManage or support storage, data movement, and filesystem needs tied to modeling and simulation outputsBuild scripts, automation, and tools that improve analyst productivity and reduce manual workflow frictionPartner with analysts, engineers, security teams, and vendor partners to improve reliability, usability, and secure operation of the environmentSupport the team’s path toward classified computing readinessImpact You’ll HaveEnable the Lethality Modeling & Simulation team to spend more time on mission-critical analysis and less time troubleshooting computing environmentsImprove the reliability and repeatability of scientific code execution across HPC systems, storage, and analyst workflowsHelp scale the team’s modeling and simulation capability by building better tooling, automation, and data workflowsStrengthen the team’s secure computing foundation as Anduril expands into more sensitive and classified analysis environmentsRequired Qualifications5+ years of experience administering Linux/Unix systems in HPC, scientific computing, research computing, defense, aerospace, national lab, or similarly complex technical environmentsHands-on experience supporting compute clusters, scientific codes, engineering software, or modeling and simulation workflowsExperience with Bash and/or Python scripting for automation, troubleshooting, or workflow supportExperience with scientific codes or tools such as CTH, ALE3D, Sierra, ParaView, Cubit, VisIt, hydrocodes, solid mechanics codes, or adjacent simulation toolsExperience with scientific software build/runtime environments, including tools such as CMake, compilers, MPI/OpenMPI, OpenMP, environment modules, or similar technologiesWorking knowledge of storage, filesystems, networking, and secure computing practices, including NFS/NAS, TCP/IP, trusted software sources, and data handling practicesBachelor’s or master’s degree in computer science, Computational Engineering, Electrical Engineering, Scientific Computing, or a related technical disciplineAbility to work onsite and obtain and maintain a U.S. security clearance; DOE, DoD, NNSA, or classified computing experience strongly preferredExperience in a National Laboratory, DoD research, defense, aerospace, or secure scientific computing environmentExperience with Slurm or comparable HPC scheduling and cluster management toolsExperience developing tools that improve analyst, researcher, or engineering productivityUS Salary Range$132,000—$198,000 USDThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; Additionally, Anduril offers top-tier benefits for full-time employees, including: These scammers often attempt to extract payment or sensitive personal information.To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. 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