Job Description

Contamination Modeling and Aerospace EngineerThe 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 contaminationExperiencedeveloping 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 methodsExperience with quartz crystal microbalance (QCM) data and experimental design, per ASTM 1559, and with utilizing data for model validationExperience with contamination-related industry standards such as ASTM 1548, ISO-14644, and IEST-STD-CC1246Experience with FEA or CFD, such as STAR-CCM+, Ansys Mechanical, Ansys Thermal Desktop, or Loci-ChemExperience in data processing and statistical techniques, programming in Python or C++, and writing technical documentation or scientific publicationsAbility to take ownership of assigned tasksAbility to work in both a team and independent environmentAbility to obtain a Secret clearanceMaster’s degree in a Physics, Aerospace Engineering, Chemical Engineering, Computer Science, Applied Mathematics, Astronomy, Astrophysics, Applied Physics, or Materials Science fieldNice If You Have: Experience applying machine learning (ML) to solving engineering problems and with modern ML frameworks such as PyTorch or TensorflowExperiencedeveloping simulations using NVIDIA Warp or CUDA PythonExperience working with Linux environmentsExperience producing original researchExperience working with U.S. Government clientsPossession of strong verbal and written communication skillsSecret clearanceDoctorate degree in Engineering or a related fieldClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs 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 PolicyAI 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 ModelOur 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-DiscriminationAll 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.SummaryLocation: Houston, TXType: Full time

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