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Anduril

Builds autonomous weapons for the US and allies

Air-Vehicle Multidisciplinary Design Analysis and Optimization Engineer

Aerospace EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Bachelor's or higher degree from an accredited program in Engineering, Physics, Mathematics, or Computer Science.
  • 8+ years of experience in aircraft and/or missile design and analysis.
  • 3+ years of hands-on experience developing MDAO methods, demonstrating broad understanding across multiple engineering disciplines, such as Cost, Configuration Design, Mass Properties, Lethality, Structures, Propulsion, Aerodynamics, Vehicle Performance, Thermal Management, Power Management, Systems Engineering, Survivability, Operational Analysis, Mission Systems, Avionics, Launch Systems, and Guidance, Navigation & Controls.
  • Proven experience in developing and deploying MDAO workflows and toolsets.
  • Expertise in applying optimization, sensitivity analysis, Uncertainty Quantification, and Design of Experiments methods.
  • Demonstrable ability to apply large language models and/or develop AI models to enhance or accelerate engineering processes and tasks with measurable efficiency improvements.
  • Proficiency in higher-level scripting languages such as Python and MATLAB within a version-controlled environment, preferably Git, with exposure to compiled languages such as C, C++, and FORTRAN.
  • Ability to obtain and maintain a DoD Secret security clearance and Special Access Program eligibility.
  • Ability to obtain and maintain a DoD Top Secret security clearance and Special Access Program eligibility.

Responsibilities

  • Collaborate with air-vehicle design and analysis disciplines and technical leadership across AD&S programs to define and execute critical trade studies, building robust, data-driven workflows using commercial MDAO frameworks.
  • Work with the AD&S Engineering Tools Lead to shape the strategic roadmap for MDAO capabilities, deploy multi-fidelity workflows across programs, and document available resources.
  • Design and implement robust, parameterized, watertight, CAD-based scripted geometry models to enable multidisciplinary analysis and ensure consistent results.
  • Drive earlier integration of disciplinary models into the design process, providing rich data to inform critical tradespace decisions.
  • Develop and apply MDAO methods and models to increase the efficiency and effectiveness of AD&S teams.
  • Innovate and deploy Artificial Intelligence solutions within MDAO workflows to enhance efficiency and discovery.
  • Identify gaps and bottlenecks and recommend solutions to continuously improve multi-fidelity workflows.
  • Assemble and run automated MDAO workflows, Design of Experiments, optimizations, sensitivity analyses, and Uncertainty Quantification for AD&S programs.
  • Direct discipline experts on efficient methods and approaches to create MDAO-hardened models and tools suitable for robust multi-fidelity workflows.
  • Develop and maintain documentation and training materials for technical experts utilizing MDAO technologies across AD&S.

Desired Qualifications

  • Advanced degree in Engineering, Physics, Mathematics, or Computer Science.
  • Experience developing MDAO workflows and toolsets using commercial MDAO framework software such as ModeFRONTIER/VOLTA, Siemens HEEDS, or similar environments.

About the Company

Anduril

Builds autonomous weapons for the US and allies

Anduril builds autonomous weapons, such as drones, cruise missiles, and robot submarines, for the US military and its allies, often developing them with its own money before any order arrives. In 2024 it beat Boeing, Lockheed Martin, and Northrop Grumman for an Air Force contract to develop Fury, a pilotless jet that flies alongside crewed fighters. Its Lattice software merges camera and radar feeds into one live map and lets a few operators direct many drones and weapons at once, including other companies' systems. Governments buy its systems under contract, and Anduril builds much of the hardware in its own factories. Oculus founder Palmer Luckey co-founded Anduril in 2017, and it is based in Costa Mesa, California.

Company size
10,001+
Company stage
Private
Total funding
$11.5B
Headquarters
Costa Mesa, CA
Founded
2017

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