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Shield AI

Builds autonomous aircraft for defense

Chief Engineer - Weapons

Engineering LeadershipUpdated on Nov 11
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • A BS or MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a similar field.
  • At least 10 years of industry experience in autonomy and/or unmanned weapon systems, such as defense technology or self-driving cars.
  • At least 7 years of delivering software into production or certifiable environments with high reliability.
  • Understanding of guidance, navigation, and control, including controls, estimation, and planning.
  • Understanding of the robotics stack, including controls, estimation, perception, and planning.
  • Understanding of software development processes and effective software deployment.
  • Experience defining technical scope and managing technical requirements, product architectures, interface control documents, and other system-level design documentation.
  • Ability to contribute to government contract proposal writing.
  • Experience leading a team of 6–20 engineers.
  • UK security clearance is preferred.

Responsibilities

  • Serve as the Chief Engineer on projects focused on developing and deploying autonomy solutions for unmanned weapon systems.
  • Lead a team responsible for advancing Hivemind Autonomy and shaping defense autonomy architectures.
  • Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of technical deliverables.
  • Provide technical leadership and oversight across internal research and development initiatives and defense contracts.

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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