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Shield AI

Builds autonomous aircraft for defense

Reliability Engineering Co-op

Mechanical Maintenance and Reliability EngineeringUpdated on Nov 11
Internship · Summer 2027Seattle, WA, USANo salary listed

About the Job

Requirements

  • Have completed at least the second year of a relevant degree, typically Mechanical, Materials, or Reliability Engineering.
  • Have strong technical fundamentals.
  • Have been part of an engineering team or club.
  • Have experience with design software and tools such as Altium, ANSYS Mechanical, or SolidWorks.
  • Have hands-on experience with materials characterization equipment, including scanning electron microscopes, microscopes, computed tomography, Fourier-transform infrared spectroscopy, differential scanning calorimetry, and other equipment.

Responsibilities

  • Support environmental and stress testing, such as temperature cycling, vibration, highly accelerated life testing, and highly accelerated stress screening, to validate hardware reliability.
  • Assist in failure analysis and root cause investigations for manufacturing non-conformances and field returns.
  • Analyze test results and field data to help identify potential failure modes and reliability risks.
  • Collaborate with design engineers to incorporate design-for-reliability best practices.
  • Participate in design reviews and failure mode and effects analysis activities to evaluate potential issues.
  • Support development of corrective actions and process improvements to enhance hardware reliability.
  • Assist in reviewing materials, manufacturing processes, and component selection for reliability considerations.
  • Use data analysis tools such as Python to support reliability assessments and reporting.
  • Work cross-functionally with engineering, manufacturing, and supplier teams.
  • Travel occasionally to support testing or supplier engagements as needed.

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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