layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Air-Vehicle Multidisciplinary Design Analysis and Optimization (MDAO) Engineer at Anduril | LAYIQ

Lead MDAO Initiatives: 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.
Strategic Development: 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.
Geometry Generation: Design and implement robust, parameterized, watertight, CAD-based scripted geometry models to enable multidisciplinary analysis and ensure consistent results.
Accelerate Design Insights: Drive the earlier integration of disciplinary models into the design process, providing rich data to inform critical tradespace decisions.
Pioneer Methodologies: Develop and apply cutting-edge MDAO methods and models to significantly increase the efficiency and effectiveness of AD&S teams.
Apply AI to MDAO: Innovate and deploy Artificial Intelligence (AI) solutions within MDAO workflows to enhance efficiency and discovery.
Optimize Workflows: Identify gaps, bottlenecks, and recommend solutions to continuously improve multi-fidelity workflows.
Execute Advanced Analyses: Assemble and run automated MDAO workflows, Design of Experiments (DOE), optimizations, sensitivity analyses, and Uncertainty Quantification (UQ) for AD&S programs.
Mentor & Guide: Direct discipline experts on efficient methods and approaches to create "MDAO-hardened" models and tools suitable for robust multi-fidelity workflows.
Document & Train: Develop and maintain comprehensive documentation and training materials for new and experienced technical experts utilizing MDAO technologies across AD&S.
REQUIRED QUALIFICATIONS
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 GNC (Guidance, Navigation & Controls).
Proven experience in developing and deploying MDAO workflows and toolsets.
Expertise in applying optimization, sensitivity analysis, Uncertainty Quantification (UQ), and Design of Experiments (DOE) 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 (Python, MATLAB) within a version-controlled environment (preferably Git), with exposure to compiled languages (C, C++, FORTRAN).
Strong collaborative spirit and a desire to contribute to methods development and process workflows in a team setting.
Exceptional written and verbal communication skills, particularly in organizing and presenting complex MDAO insights to inform stakeholders quickly and concisely.
Ability to obtain and maintain a DoD Secret security clearance and Special Access Program (SAP) eligibility.

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

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