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Shield AI

Builds autonomous aircraft for defense

Staff Mechanical Engineer - Systems Integration

Aerospace EngineeringPosted on Nov 13
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's or master's degree in mechanical engineering or a related discipline is required.
  • At least 7 years of experience developing and integrating aircraft or complex aerospace systems is required.
  • Demonstrated ownership of major aircraft subsystem integration from concept through production is required.
  • Advanced aircraft installation design experience, including packaging, mounting, maintainability, and interface definition, is required.
  • Advanced computer-aided design and product lifecycle management expertise using CATIA, NX, Creo, Teamcenter, Windchill, 3DEXPERIENCE, or equivalent tools is required.
  • Experience designing machined, fabricated, sheet metal, and installation hardware is required.
  • Experience leading electrical wiring interconnection systems, hydraulic, environmental control system, fuel, pneumatic, or similar aircraft routing design is required.
  • Expert-level drawing development and release experience for part, assembly, and installation drawings is required.
  • Advanced geometric dimensioning and tolerancing and tolerance stack-up capability is required.
  • Experience managing bills of materials, product structures, engineering changes, and configuration baselines is required.
  • Experience supporting manufacturing, build, installation, material review board, supplier, and production-readiness activities is required.
  • Demonstrated ability to lead cross-functional technical teams is required.

Responsibilities

  • Serve as the technical lead for integration of major aircraft systems across multiple engineering disciplines.
  • Establish subsystem installation architecture and interface strategies for mechanical, electrical, avionics, and fluid systems.
  • Lead multidisciplinary packaging studies balancing aircraft performance, manufacturability, maintainability, reliability, and serviceability.
  • Develop engineering standards for installation design, routing practices, computer-aided design modeling, drawing quality, and configuration management.
  • Lead complex engineering investigations involving aircraft integration, manufacturing, supplier issues, or field problems.
  • Review and approve installation drawings, bills of materials structures, engineering changes, and configuration baselines.
  • Guide prototype builds, manufacturing readiness, and production integration activities.
  • Lead technical coordination with Systems Owners, Structures, Stress, Manufacturing, and Supply Chain organizations.
  • Mentor engineers across multiple programs while driving technical consistency throughout the organization.
  • Manage technical scope, schedule, risks, and engineering execution for major aircraft development efforts.

Desired Qualifications

  • Experience leading integration on aircraft, autonomous aircraft, defense, electric vertical takeoff and landing, or advanced aerospace programs.
  • Experience performing structural analysis, hand calculations, load path assessments, or margin development.
  • Experience with finite element analysis for static, modal, vibration, fatigue, or thermal problems.
  • Hands-on experience supporting build, production, testing, or hardware validation activities.
  • Experience developing installation design standards, routing standards, or computer-aided design/product lifecycle management best practices.
  • Experience mentoring engineers and reviewing technical work across multiple disciplines.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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