Contamination Modeling and Aerospace Engineer

Booz Allen Hamilton•Houston, TX

12d•$86,900 - $198,000

About The Position

You’ll support the client by tackling the challenges of 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. As a contamination engineer on the Team, you will be responsible for developing physics-based frameworks that quantify volatile release, surface deposition, and contaminant transport across spacecraft systems. This work centers on building computational capabilities to support development of space hardware and systems. As a senior engineer, you will architect and implement computational approaches, guide strategy, and mentor junior staff.

Requirements

6+ years of experience of modeling and simulation of materials outgassing and spacecraft contamination
Experience developing and maintaining software to implement analytical and computational models, and developing modeling framework for spacecraft material outgassing and contaminant transport, utilizing direct simulation Monte Carlo (DSMC) or numerical methods
Experience with quartz crystal microbalance (QCM) data and experimental design, per ASTM 1559, and with utilizing data for model validation
Experience with contamination-related industry standards such as ASTM 1548, ISO-14644, and IEST-STD-CC1246
Experience with FEA or CFD, such as STAR-CCM+, Ansys Mechanical, Ansys Thermal Desktop, or Loci-Chem
Experience in data processing and statistical techniques, programming in Python or C++, and writing technical documentation or scientific publications
Ability to take ownership of assigned tasks
Ability to work in both a team and independent environment
Ability to obtain a Secret clearance
Master’s degree in a Physics, Aerospace Engineering, Chemical Engineering, Computer Science, Applied Mathematics, Astronomy, Astrophysics, Applied Physics, or Materials Science field

Nice To Haves

Experience applying machine learning (ML) to solving engineering problems and with modern ML frameworks such as PyTorch or Tensorflow
Experience developing simulations using NVIDIA Warp or CUDA Python
Experience working with Linux environments
Experience producing original research
Experience working with U.S. Government clients
Possession of strong verbal and written communication skills
Secret clearance
Doctorate degree in Engineering or a related field

Responsibilities

Developing physics-based frameworks that quantify volatile release, surface deposition, and contaminant transport across spacecraft systems.
Building computational capabilities to support development of space hardware and systems.
Architecting and implementing computational approaches.
Guiding strategy.
Mentoring junior staff.