Aerospace Engineer

Booz Allen Hamilton•Houston, TX

About The Position

Aerospace Engineer The Opportunity : This position will be joining the Booz Allen Space Environments Modeling and Simulation ( M & S ) Team that supports the client by tackling the challenges of lunar dust contamination of spacecraft and other assets by modeling the complex interactions between dust particles, the space environment, and spacecraft. To do so, they develop and use advanced computational modeling tools and techniques. Join the team as they develop a comprehensive modeling and analysis framework for the client’s Extravehicular Activity and Human Surface Mobility Program ( EHP ) to characterize the risks lunar dust poses to the success of a permanent human presence on the Moon. As an aerospace engineer on the team, you will be responsible for developing new M & S capabilities and will model systems and environments of interest and simulate physical pheno mena such as plasma interactions with spacecraft and dust. Join us. The world can’t wait.

Requirements

3+ years of experience with M&S of physical pheno mena or systems
Experience with rarefied gas dynamics, computational fluid dynamics, direct simulation Monte Carlo, discrete element met hod, particle-in-cell simulations, space environments effects such as radiation transport, materials outgassing and contamination, or spacecraft charging
Experience developing sof t war e to implement analytical and computational models
Experience with data processing and statistical techniques, and programming in Fortran, Python, or C++
Experience with CAD and 3D modeling sof t war e such as SolidWorks and NX
Experience with FEA, CFD, or tools such as STAR-CCM+, Ansys Mechanical, Ansys Thermal Desktop, and Loci-Chem
Experience writing technical documentation or scientific publications
Ability to take ownership of assigned tasks, work in both a team and independently, and communicate effectively with clients and stakeholders
Ability to obtain a Secret clearance
Bachelor’s degree in a Physics, Mechanical Engineering, Aerospace Engineering, CS, or Applied Mathematics field

Nice To Haves

Experience modeling chemically reacting flows
Experience modeling plasma or dust-plasma coupling
Experience applying machine learning ( ML ) to solve engineering problems with modern ML frameworks such as PyTorch and TensorFlow
Experience working with Linux environments
Experience performing Discrete Element Met hod ( DEM ) analyses
Experience modeling Hall-effect th rus ters or other electric propulsion systems
Experience producing original research
Experience working with U.S. government clients, including in the space domain
Secret clearance
Master’s degree in Engineering or a related field

Responsibilities

developing new M & S capabilities
model systems and environments of interest
simulate physical pheno mena such as plasma interactions with spacecraft and dust