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Shield AI

Builds autonomous aircraft for defense

Senior Liaison Engineer - Sustaining

Mechanical Maintenance and Reliability EngineeringUpdated on Nov 14
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Mechanical Engineering, Aerospace Engineering, or a related field is required.
  • At least 5 years of relevant experience is required for Senior Engineer, or at least 8 years for Staff Engineer.
  • Experience reviewing and dispositioning nonconformance reports within a Material Review Board process in aerospace, defense, or another regulated industry is required.
  • Experience supporting production, sustaining engineering, fielded products, or complex hardware troubleshooting is required.
  • Experience writing rework or repair instructions for production hardware is required.
  • A track record of resolving technical issues through verified corrective action, including formal root cause and corrective action, is required.
  • Proficiency with 3D computer-aided design, engineering drawings, geometric dimensioning and tolerancing, and mechanical design for manufacturing is required.
  • Strong technical writing and documentation skills and clear communication across teams are required.

Responsibilities

  • Lead resolution of mechanical issues arising from production, testing, fielded aircraft, and customer operations, including hands-on support during builds, integration, and troubleshooting.
  • Serve as the engineering point of contact and approval authority for nonconformance reports and Material Review Board dispositions, engaging Structures, Thermal, and Design as needed to confirm a path forward.
  • Disposition nonconformances as use-as-is, repair, rework, scrap, or return to vendor, documenting effects on form, fit, function, and structural integrity.
  • Evaluate and disposition issues across metallic, composite, and plastic parts, wire harnesses, and electronic assemblies.
  • Write rework and repair instructions for individual nonconformance reports and standard pre-approved repairs, including inspection and acceptance criteria.
  • Partner with Quality to resolve issues and lead formal root cause and corrective action investigations when needed, using fault trees, 5 Whys, failure analysis, and test-based troubleshooting.
  • Coordinate investigations across Engineering, Manufacturing, Quality, Supply Chain, Test, and Field Operations.
  • Determine when issues require design, drawing, process, inspection, or supplier-control changes, and drive computer-aided design, drawing, specification, and bill of materials updates through release.
  • Track recurring nonconformances and feed lessons learned back into designs and processes.

Desired Qualifications

  • Experience as a liaison or Material Review Board engineer on aircraft or unmanned aircraft system production.
  • Experience classifying structural versus non-structural repairs, or writing standard repair procedures or structural repair manuals.
  • Working knowledge of composite materials, processes, and inspection methods, such as prepreg, wet layup, bonding, cure cycles, tap testing, and ultrasonic testing.
  • Familiarity with workmanship standards for wire harnesses and electronic assemblies, such as IPC/WHMA-A-620 and IPC-A-610.
  • Familiarity with metallic and plastic manufacturing processes, finishes, and common defect modes.
  • Ability to assess structural margin, or experience working closely with stress and thermal analysts.
  • Experience in an AS9100 quality environment.
  • Experience with Siemens NX and Teamcenter.
  • Experience supporting fielded aircraft and customer operations.

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
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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