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Northrop Grumman · 1 month ago

Multidisciplinary Design Analysis and Optimization Engineer Level 3/4 (AHT) - R10214350

Los Angeles, CA

Full-time

Onsite

Mid, Senior Level

$110K/yr - $206K/yr

3+ years exp

Northrop Grumman is a leading defense systems company looking for a Multidisciplinary Design Analysis and Optimization Engineer (Level 3/4) to join their Advanced Programs team in Northridge, CA. The role involves developing and executing multidisciplinary analysis and optimization studies for air vehicle concepts, utilizing programming skills and collaborating with teams to enhance vehicle performance for national defense.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop and execute multidisciplinary analysis and optimization (MDAO) studies for diverse air vehicle concepts using advanced problem-solving tools

Apply Python programming skills and proficiency with frameworks such as OpenMDAO for model integration and trade study automation

Implement and run trajectory optimization analyses utilizing tools such as Taos, Dymos, or similar platforms

Design and analyze systems architectures, supporting rapid assessment and iteration of concepts through trade studies and performance sensitivity analyses

Model aerodynamic, propulsion, and general vehicle subsystems (including sensors, warheads, etc.) to support end-to-end system simulation

Leverage statistical and gradient-based optimization techniques (e.g., SNOPT, IPOPT) to solve complex, constrained engineering problems

Communicate highly technical analysis findings and recommendations effectively to senior leaders and non-technical stakeholders

Collaborate with multidisciplinary teams to integrate analytical models and support program decision making

Exhibit excellent organization and leadership skills

Demonstrate adaptability and eagerness to work on rapidly evolving projects and priorities

Be a self-starter with strong organizational skills and a collaborative mindset

Qualification

MDAOPythonStatistical analysisSystems architectureGradient-based optimizationMATLABC++ModelCenterLinuxFORTRANCommunication skillsLeadership skillsCollaborationAdaptabilityOrganizational 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

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

Strong code development experience

Experience with MATLAB, Python, C++, ModelCenter, Linux and/or FORTRAN

Strong foundation in systems architecture and rapid trade study analysis methods

Proven Weapon Systems Modeling experience

Experience in statistical analysis and optimization, with emphasis on gradient-based methods and use of solvers (SNOPT, IPOPT, etc.)

Ability to communicate complex technical information clearly to senior leadership and multi-disciplinary audiences

Must have a U.S. Citizenship and the ability to obtain a secret security clearance