Physics Simulation Python Jobs in Houston, TX (NOW HIRING)

Job Number: R0245803 Molecular Dynamics and Aerospace Engineer The Opportunity: You will 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 molecular dynamics and granular mechanics simulation engineer on the Team, you will be responsible for develop ing particle-scale physics models that resolve contact mechanics, cohesion, and fragmentation across regolith and contaminant populations. This work center s on building MD or DEM frameworks capable of capturing wheel-regolith interactions. 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 physical pheno mena , systems using molecular dynamics ( MD ) , or discrete element met hod ( DEM ) * Experience develop ing MD or DEM simulation frameworks
* Experience develop ing and maintaining sof tware to implement analytical and computational models
* Experience programming in Python or C++
* Experience in data processing and statistical techniques
* Experience with MD or DEM tools, such as LAMMPS, GROMACS, NAMD, or Ansys Rocky
* Experience writing technical documentation or scientific publications
* Ability to work in both a team and independent environment and take ownership of assigned tasks
* Ability to obtain a Secret clearance * Master's degree in a Physics, Mechanical Engineering, Aerospace Engineering, Computer Science, Astronomy, Astrophysics, Applied Mathematics, Computational Physics, Computational Chemistry, Materials Science, or Biophysics field Nice If You Have: * Experience modeling plasma or dust-plasma coupling
* Experience coupling MD or DEM solvers to Eulerian computational fluid dynamics solvers.
* Experience applying machine learning ( ML ) to solve engineering problems with modern ML frameworks such as PyTorch or Tensorflow
* Experience develop ing simulations using NVIDIA Warp or CUDA Python
* Experience working with Linux environments
* Experience producing original research and working with U.S. Government clients
* Experience of applications to granular mechanics
* Possession of strong verbal and written communication skills * Secret clearance * Doctorate degree in Engineering or 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. 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 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.