Air-Vehicle Multidisciplinary Design Analysis and Optimization (MDAO) Engineer

Anduril Industries

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Costa Mesa, CA
Salary
$166,000–$220,000 / yr
Posted
118 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $193k
$135k most similar roles pay here $229k

This role pays more than 72% of similar roles. Most pay $150,000–$205,750 — the shaded band above. At the midpoint, this role pays about $193k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1697 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1504 roles with salary data.

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At a glance

TL;DR · Air-Vehicle Multidisciplinary Design Analysis and Optimization (MDAO) Engineer

The Air-Vehicle Multidisciplinary Design Analysis and Optimization (MDAO) Engineer joins the Air Dominance & Strike division to accelerate the development of collaborative combat aircraft and missiles. This role involves integrating disciplinary models—including aerodynamics, propulsion, and GNC—into multi-fidelity workflows to inform critical design decisions. The engineer will build automated MDAO workflows, develop parameterized CAD-based scripted geometry, and implement advanced methods such as Uncertainty Quantification, Design of Experiments, and sensitivity analyses. Key technical requirements include proficiency in Python, MATLAB, and Git, alongside experience with C, C++, or FORTRAN. The candidate must also apply large language models and AI tools to optimize engineering processes. This role solves the challenge of breaking down traditional silos between conceptual design and detailed engineering to create robust, data-driven systems for complex defense applications.

What you'll do

  • Execute critical trade studies and build data-driven workflows using commercial MDAO frameworks.
  • Develop and implement parameterized, scripted CAD models to enable multi-disciplinary analysis.
  • Integrate disciplinary models into early design stages to inform high-level decision making.
  • Deploy Artificial Intelligence solutions within MDAO workflows to accelerate engineering discovery.
  • Perform automated MADO workflows including Design of Experiments (DOE), sensitivity analyses, and Uncertainty Quantification.
  • Mentor discipline experts on creating "MDAO-hardened" models for multi-fidelity workflows.
  • Create comprehensive documentation and training materials for internal technical teams using MDAO technologies.

What we're looking for

  • Bachelor's degree or higher 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 across multiple engineering disciplines.
  • Proven experience developing and deploying MADO workflows and toolsets.
  • Expertise in optimization, sensitivity analysis, Uncertainty Quantification (UQ), and Design of Experiments (DOE).
  • Ability to apply large language models or develop AI models to accelerate engineering processes.
  • Proficiency in Python and MATLAB within a version-controlled environment like Git.
  • Ability to obtain and maintain a DoD Secret security clearance and Special Access Program (SAP) eligibility.

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