Computational Design Engineer – Advanced Concepts

Betatechnologiesinc · Plattsburgh, New York, United States; Raleigh, North Carolina, United States; South Burlington, Vermont, United States · Engineering

Posted 2026-10-03

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The Computational Design Engineer will connect generative methods and optimization to aircraft geometry, physics models and manufacturing constraints. The role supports aircraft development while building methods, evidence, and reusable capability for broader Advanced Systems teams and partners. This position will be based onsite at our South Burlington, VT office location, our Raleigh, NC office. Remote candidates may be considered for a hybrid role, with monthly visits to South Burlington, VT for in person work.

How you will contribute to revolutionizing electric aviation:

Build parametric geometry, design-space definitions, MDO workflows, surrogate models and automated solver loops

Verify generated concepts

Coordinate with Aerodynamics; Structures; Propulsion; Manufacturing; AI/ML; Digital Engineering

Produce and maintain Executable design workflow; trade-space results; verified concepts; method documentation

Support the Program Director / Chief Engineer by applies ai to wing-engine and broader configuration trades without allowing generated output to outrun engineering evidence

Document assumptions, interfaces, decisions, risks, and verification needs in configuration-controlled engineering records

Communicate status, unresolved issues, and recommended actions clearly in technical and program reviews

Minimum Qualifications:

Bachelor’s degree in systems, aerospace, mechanical, electrical engineering, or a related field

Three or more years of relevant engineering or complex-product experience

Experience with requirements, interfaces, architecture, configuration, verification or multidisciplinary product integration

Ability to structure and maintain traceable technical information and drive cross-functional actions to closure

Working knowledge of aircraft development, safety, configuration control and design-review practices

Ability to communicate technical assumptions, limitations, risks, and recommendations clearly and work effectively across disciplines

Must be a US Person to be considered for the role

Above and Beyond Qualifications:

Applied AI, optimization, agent, digital-thread, or engineering-software experience in a regulated or safety-critical environment

Experience integrating commercial and internal engineering tools through APIs and controlled data pipelines

Experience with model evaluation, observability, security, data rights, or human-in-the-loop approval workflows

Physical Demands and Work Environment:

This role requires regular work in office, laboratory, manufacturing, hangar, aircrat, and test environments; periods of standing, walking bending, and handso-on hardware work; occasional lifting consistent with safe work practices; occasional travel or nonstandard test hours; and use of required personal protective equipment.

The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.

Compensation

$120,000—$140,000 USD

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