Computational Modeling Simulation Multiphysics Jobs in Pearland, TX

The Opportunity:

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.

Join us. The world can't wait.

You Have:

• 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 If You Have:

• 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

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.