Build models to simulate a broad range of static and dynamic events that may include blast, impact, penetration, structural strength, fluid dynamics, fluid-structure interaction, and material model calibration.
Select from and leverage a range of advanced software tools including Abaqus, ABSTRAO, ALE3D, Cheetah, Ansys, CTH, COMSOL, Fluent, IMPETUS, LS-DYNA, NASTRAN, and Thermal Desktop to provide the best possible solution for a given problem.
Collaborate regularly with engineers, designers, fabricators, and scientists.
Propose future projects and initiatives with multidisciplinary teams.
Craft reports and give presentations to communicate results to team members and government partners.

We're looking for talented and versatile computational engineers who are excited to expand their analytical toolbox. If you have experience in any of the methods or tools above, and are motivated to learn even more, we want to talk to you.\nQualifications\nYou meet our minimum qualifications for the job if you have...\n

A Bachelor's Degree in Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, Materials Science, or equivalent with demonstrated application of knowledge.\n
1+ years demonstrated experience in FEA or related computational modeling.\n
Interest in working on military projects that include energetics, munitions, blast, and impact.\n
Scientific/engineering programming experience, with the ability to work in at least one language (MATLAB, C/C++, Python, FORTRAN, etc.) using common algorithms in computational science and engineering.\n
Demonstrated ability to work independently and collaboratively within a multidisciplinary team.\n
Ability to multi-task on projects.\n
Excellent verbal and written communication skills.\n
Willingness and ability to travel occasionally to attend meetings or tests at other government and contractor sites.\n
Ability to work in closed area facilities.\n
Are able to obtain a Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.\nYou'll go above and beyond our minimum requirements if you have...\n
A MS or PhD in Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, Materials Science, or equivalent with demonstrated application of knowledge.\n
Education or experience in the design, analysis, fabrication, and use of energetics and munitions.\n
Experience using high-performance computing or other cluster computing environments with job schedulers (Slurm, PBS, etc.)\n
Experience using hardware accelerators (e.g. GPUs) and familiarity with parallel programming techniques (MPI/OpenMP).\n
Experience applying artificial intelligence or machine learning methods to computational modeling and simulation workflows.

\nAbout Us\nWhy Work at APL?\nThe Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosp w you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.\nAt APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at jhuapl.edu/careers.\nAll qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibilityjhuapl.edu.\nThe referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. 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Computational Mechanics Engineer