Guidance, Navigation & Control (GNC)/Flight Dynamics Software Developer

Company Description

Join us and make YOUR mark on the World! Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability. Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

We have multiple openings for a Guidance, Navigation, & Control (GNC)/Flight Dynamics Software Developer in support of the Flight Performance Integration (FPI) program. FPI supports LLNL weapon system design and assessments with modeling and simulation utilizing custom in-house computational codes. You will perform code development work focused on a Python modeling environment (library) to generate an integrated tool to interface with multiple engineering solvers and post-processing applications. This will involve developing methods and tools to streamline the engineering workflow, facilitate automation, and provide drop-in automated data extraction. This work prepares for a planned AI driven virtual design assistant. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate. Depending on your assignment, these positions may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week. These positions will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level. You will

• Contribute to the development of new aerospace engineering analysis capabilities, such as optimal control, advanced 3DoF trajectory optimization, 6DoF trajectory optimization, and autopilot design software.
• Support concept trade studies and derive GN&C requirements for future systems utilizing in-house flight simulation tools and engagement modeling codes such as AFSIM.
• Contribute to the development of tools for managing CFD, Trajectory, Finite Element Analysis (FEA) and other numerical modeling workflows including preprocessing, post-processing, and data management. Perform analysis of with a variety of flight modeling related tools with an emphasis on assembling them to enable novel analysis at scale utilizing high-performance computing (HPC) resources.
• Support engineering and flight modeling analysts including debugging problems, providing alternative solutions, and quick feature implementation.
• Document methods and implementation in both informal and formal reports and presentations. Share relevant knowledge, analysis, and recommendations in collaboration with internal and external scientists, engineers, mathematicians, and computer scientists through reviews and working groups. Collaborate with other development teams working on tools that support analysis workflows.
• Perform other duties as assigned.

Additional job responsibilities at the SES.3 level

• Independently determine technical objectives and criteria to satisfy project deliverables and execute the appropriate technical approaches.
• Apply advanced technical knowledge and best practices to guide successful completion of project and organizational goals.
• Lead and mentor junior staff, student fellows, and summer student researchers.

Qualifications

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.
• Master’s degree in engineering, computational science, applied math, physics, or related field, or the equivalent combination of education and related experience.
• Demonstrated programming ability in Python, C, C++, FORTRAN, or similar languages.
• Proficient understanding of computational vehicle dynamics via 3-DoF and/or 6-DoF flight/reentry modeling including familiarity with aerodynamic performance coefficients.
• Proficiency in vector calculus, linear algebra, and numerical methods for solving differential equations (ODEs/DAEs).
• Knowledge of trajectory optimization tools and methods such as GPOPS-II, Dymos, OTIS, TAOS, STK, or similar. Knowledge of dynamic optimization methods such as direct collocation, shooting methods, nonlinear programming, sequential quadratic programming, algorithmic differentiation, and related tools such as CasADI, Pyomo, IPOPT, & SNOPT.
• Proficient interpersonal, written, and verbal communication skills necessary to effectively pr

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