The Space Exploration Group (JSEG) Guidance, Navigation, and Control (GNandC) team is a high performing group executing challenging tasks to design and integrate GNandC systems for projects ranging from CubeSats to NASAs Space Launch System (SLS). We are searching for highly qualified candidates to support the design, development, and oversight of the Human Lander Systems Program in the Control Systems Design and Analysis branch at NASAs Marshall Space Flight Center as a Controls, Modeling, Simulation, and Analysis Subject Matter Expert. This exciting work will serve as a critical step in sending humans back to the Moon, Mars and beyond! Responsibilities: Responsibilities include but are not limited to: Develop and/or oversee the development, verification, and validation of launch vehicle, spacecraft, and lander control systems. Model, develop, simulate, and analyze launch vehicle, spacecraft, and lander control system performance and stability including during touchdown. Interface with HLS partners to seek understanding of their design/test data and potentially participate in partners tests. Periodically analyze HLS partner flight data and present findings to NASA management. Mentor junior engineers in conducting control system modeling, simulation, and analysis. Resolve complex problems pertaining to the design, development, analysis, integration, evaluation, testing, and verification of control systems and 6-DoF models and simulations. Develop, modify, maintain, and improve software simulations, tools, and scripts. Configure, conduct, and analyze 6-DoF Monte Carlo simulations. Conduct trades studies and/or sensitivity analyses related to launch vehicles and spacecraft control. Create, edit, and debug software written in Matlab, Simulink, and Simscape. Prepare and present technical reports and/or briefings including visualization of results. Create and review engineering and software documentation.

Job Requirements: (96W) A degree in Aerospace, Mechanical or Electrical Engineering or related field is required. A Degree from an ABET accredited institution is preferred. Typical experience requirements are the equivalent of a PhD with at least 4 years of experience, a masters with at least 8 years of experience, or BS with at least 10 years of experience. (96X) A degree in Aerospace, Mechanical or Electrical Engineering or related field is required. A Degree from an ABET accredited institution is preferred. Typical experience requirements are the equivalent of a PhD with at least 19 years of experience, a masters with at least 23 years of experience, or BS with at least 25 years of experience. Required skills/experience: Design and development of flight control systems (PID, state space, etc.) and actuator allocation (manual jet selection, quadratic programming, pseudo inverse, etc.) including TVC and RCS/Phase plane. Analyzing system performance in the time and frequency domain (Nichols, Bode, Nyquist, Root Locus, etc.) using parametric, Monte Carlo, and statistical techniques. Proficiency modeling, simulating, and analyzing the performance of launch vehicles, spacecraft, and landers. Modeling of spacecraft components/subsystems including Thrust Vector Control (TVC) actuators, Reaction Control System (RCS) thrusters, slosh, pogo, rigid and/or flexible body dynamics, and/or sensors. Programming in Matlab, Simulink, Simscape, and C/C++. Experience performing software development, verification, and validation. Experience performing trade studies, sensitivity, and/or Monte Carlo simulation and analyses related to the control of launch vehicles and/or spacecraft. Must be detail oriented and self-motivated that can work independently taking projects from start to finish without much oversight. Must also be able to work collaboratively with other team members both locally and remote at other facilities or vendors. Strong written and oral communication, interpersonal, and problem-solving skills. Experie ce mentoring junior engineers. Desired skills/experience: Ability to derive multi-body spacecraft dynamics equations of motion, including both nonlinear equations and linear state equations and integrate subsystem models into larger simulations. Programming in other languages such as Python. Familiarity with and an understanding of trajectory and orbital dynamics. Experience with creating animations/visualization from results of 3-DoF/6-DoF simulations using tools such as Unreal Engine, Satellite Tool Kit (STK), etc. Model based design.