Computational Mechanics Engineer

Johns Hopkins Applied Physics LaboratoryLaurel, MD
Onsite

About The Position

Are you a creative person driven to solve new problems? Are you searching for impactful work in computational engineering and analysis that doesn’t confine you to working on the same thing year after year? Does making meaningful contributions to projects that span submarines, surface ships, UAVs, aircraft, missiles, and spacecraft sound like a dream job? If so, we’re looking for someone like you to join our team at APL. We are seeking a Computational Mechanics Engineer to solve impactful problems by modeling key physical processes in complex systems. As a member of our team, you will contribute to exciting projects supporting the U.S. Department of War and other government agencies. Our team strives to develop, apply, and maintain deep expertise in multiscale modeling techniques that give insight across a broad range of length and time scales. You will work alongside analysts, designers, and fabricators who have a passion for bringing our models to physical systems that advance the state-of-the-art and have real-world impact.

Requirements

  • A Bachelor’s Degree in Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, Materials Science, or equivalent with demonstrated application of knowledge.
  • 1+ years demonstrated experience in FEA or related computational modeling.
  • Interest in working on military projects that include energetics, munitions, blast, and impact.
  • 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.
  • Demonstrated ability to work independently and collaboratively within a multidisciplinary team.
  • Ability to multi-task on projects.
  • Excellent verbal and written communication skills.
  • Willingness and ability to travel occasionally to attend meetings or tests at other government and contractor sites.
  • Ability to work in closed area facilities.
  • 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.

Nice To Haves

  • A MS or PhD in Mechanical Engineering, Aerospace Engineering, Physics, Applied Mathematics, Materials Science, or equivalent with demonstrated application of knowledge.
  • Education or experience in the design, analysis, fabrication, and use of energetics and munitions.
  • Experience using high-performance computing or other cluster computing environments with job schedulers (Slurm, PBS, etc.)
  • Experience using hardware accelerators (e.g. GPUs) and familiarity with parallel programming techniques (MPI/OpenMP).
  • Experience applying artificial intelligence or machine learning methods to computational modeling and simulation workflows.

Responsibilities

  • 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.

Benefits

  • robust education assistance program
  • unparalleled retirement contributions
  • healthy work/life balance
  • retirement plans
  • paid time off
  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • flexible spending accounts
  • education assistance
  • training and development
  • sign-on bonus
  • relocation benefits
  • locality allowance
  • discretionary payments for exceptional performance
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