Multidisciplinary Design Analysis and Optimization (mdao) Engineer 3 (aht)

Northrop Grumman Northrop Grumman · Aerospace · Los Angeles, CA +1 · Systems/Architecture/Test

This role involves developing and executing multidisciplinary analysis and optimization (MDAO) studies for air vehicle concepts, applying Python and frameworks like OpenMDAO, and implementing trajectory optimization. It requires designing and analyzing systems architectures, modeling various vehicle subsystems, and leveraging optimization techniques to solve complex engineering problems, while effectively communicating findings to stakeholders.

What you'd actually do

  1. Develop and execute multidisciplinary analysis and optimization (MDAO) studies for diverse air vehicle concepts using advanced problem-solving tools.
  2. Apply Python programming skills and proficiency with frameworks such as OpenMDAO for model integration and trade study automation.
  3. Implement and run trajectory optimization analyses utilizing tools such as Taos, Dymos, or similar platforms.
  4. Design and analyze systems architectures, supporting rapid assessment and iteration of concepts through trade studies and performance sensitivity analyses.
  5. Model aerodynamic, propulsion, and general vehicle subsystems (including sensors, warheads, etc.) to support end-to-end system simulation.

Skills

Required

  • Bachelor’s degree with a minimum of five (5) years of MDAO or related engineering roles within aerospace, defense, or closely aligned industries OR a Master’s Degree with three (3) years of experience OR a PhD with one (1) year of experience
  • U.S. Citizenship
  • Multi-Disciplined Optimization Methods
  • setup and execution of Multi-Disciplinary Design Analysis and Optimization (MDAO) models
  • aircraft or weapon design, layout, sizing and performance analysis tools
  • System Design and Optimization
  • code development experience
  • MATLAB, Python, C++, ModelCenter, Linux and/or FORTRAN
  • Python, OpenMDAO
  • trajectory optimization, Taos and/or Dymos
  • systems architecture
  • rapid trade study analysis methods
  • modeling experience spanning aerodynamics, propulsion systems, sensors, warheads, and general systems engineering practices
  • statistical analysis and optimization
  • gradient-based methods
  • solvers (SNOPT, IPOPT, etc.)
  • communicate complex technical information clearly to senior leadership and multi-disciplinary audiences
  • adaptability and eagerness to work on rapidly evolving projects and priorities
  • Self-starter with strong organizational skills and a collaborative mindset
  • Ability to obtain a US Government Secret Security Clearance

Nice to have

  • Current Active Secret clearance or higher with a Periodic Reinvestigation within the last five (5) years.
  • military aircraft or weapon design principles and tools

What the JD emphasized

  • MDAO or related engineering roles within aerospace, defense, or closely aligned industries
  • Experience in Multi-Disciplined Optimization Methods
  • Experience with setup and execution of Multi-Disciplinary Design Analysis and Optimization (MDAO) models
  • Experience with aircraft or weapon design, layout, sizing and performance analysis tools
  • Experience in System Design and Optimization
  • Proficient in Python, with hands-on experience in OpenMDAO and other multidisciplinary analysis frameworks.
  • Demonstrated experience in trajectory optimization, preferably with tools like Taos and/or Dymos.
  • Strong foundation in systems architecture and rapid trade study analysis methods.
  • Proven modeling experience spanning aerodynamics, propulsion systems, sensors, warheads, and general systems engineering practices.
  • Experience in statistical analysis and optimization, with emphasis on gradient-based methods and use of solvers (SNOPT, IPOPT, etc.).
  • Ability to obtain a US Government Secret Security Clearance