Overview In this role, you will fuse generative design with optimization to explore aircraft geometry within physics and manufacturing constraints. You will build parametric models, run design-space studies, and develop automated solver loops to drive evidence-based concepts. You'll collaborate across Aerodynamics, Structures, Propulsion, and Manufacturing while advancing reusable design workflows and documentation. Your work supports the Program Director and Chief Engineer in AI-assisted configuration trades, ensuring engineering evidence stays in step with output. This is a hands-on role in a mission-driven, inclusive environment at BETA's facilities with hybrid work options. Compensation / Benefitsonsite healthcare in Vermontcomprehensive medical coveragedental and visionshort- and long-term disabilitypaid parental leaveflight lessons ResponsibilitiesBuild parametric geometry, design-space definitions, MDO workflows, surrogate models and automated solver loopsVerify generated conceptsCoordinate with Aerodynamics; Structures; Propulsion; Manufacturing; AI/ML; Digital EngineeringProduce and maintain executable design workflow; trade-space results; verified concepts; method documentationSupport the Program Director / Chief Engineer by applying AI to wing-engine and broader configuration trades while keeping engineering evidenceDocument assumptions, interfaces, decisions, risks, and verification needs in configuration-controlled recordsCommunicate status, unresolved issues, and recommended actions in technical and program reviews Key requirementsBachelor's degree in systems, aerospace, mechanical, electrical engineering, or related fieldThree or more years of relevant engineering or complex-product experienceExperience with requirements, interfaces, architecture, configuration, verification or multidisciplinary product integrationAbility to structure and maintain traceable technical information and drive cross-functional actions to closureWorking knowledge of aircraft development, safety, configuration control and design-review practicesAbility to communicate technical assumptions, limitations, risks, and recommendations clearly across disciplinesMust be a US Person to be considered for the roleCross-functional collaborationClear technical communicationStructured problem solvingAI/ML and optimizationGenerative design and MDO workflowsSurrogate modeling
Not specified in the original listing.
Not specified in the original listing.
