Aerospace Guidance Engineer for Human Landing Systems (ES4)

Amentum•Huntsville, AL

1d•Onsite

About The Position

As an Aerospace Guidance Engineer, you will develop, implement, and verify guidance algorithms for real-time trajectory optimization for the Human Landing Systems (HLS) project that will take humans back to the Moon. Trajectory analyses will be based on fundamental principles of orbital mechanics, with increasing levels of fidelity and complexity added as more detailed modeling is required. Monte Carlo, design of experiments, and other methods will be used to assess vehicle and stage performance. Trajectories for ascent, descent, rendezvous, proximity operations, and docking will be analyzed in support of trade and sensitivity studies affecting system configuration and mission designs.

Requirements

A degree from an ABET-accredited university in Aerospace Engineering, Mechanical Engineering, or a related field.
Ph.D. with a minimum of 4 years of experience, OR MS with at least 8 years of experience, OR BS with at least 10-15 years of experience.
Strong evidence of C++ and Matlab and Simulink skills.
Strong evidence of Trajectory Optimization skills.
Strong evidence of Numerical optimization skills.
Strong evidence of Optimal Control skills.
MUST be a US Citizen and have a STAR ID.

Nice To Haves

Able to quickly tackle problems independently.
Experience with guidance algorithms for entry, descent, and landing.
Knowledge of guidance techniques, trajectory planning.
Knowledge of astrodynamics and flight mechanics.
Knowledge of Python.
Knowledge of Monte Carlo, design of experiments, and statistical analysis.
Proficiency with modeling and simulation of system dynamics.
Strong proficiency in technical writing, communication, and presentation.

Responsibilities

Develop, implement, and verify guidance algorithms for real-time trajectory optimization for Human Landing Systems (HLS) project.
Perform trajectory analyses based on fundamental principles of orbital mechanics, with increasing levels of fidelity and complexity.
Utilize Monte Carlo, design of experiments, and other methods to assess vehicle and stage performance.
Analyze trajectories for ascent, descent, rendezvous, proximity operations, and docking in support of trade and sensitivity studies.