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Shield AI

Builds autonomous aircraft for defense

Chief Engineer - Cca

Engineering LeadershipUpdated on Nov 14
Full-timeLondon, UKIn-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 aircraft system platforms, such as defense technology or self-driving cars.
  • At least 7 years of experience delivering software into production or certifiable environments with high reliability.
  • Understanding of guidance, control, and navigation, including controls, estimation, and planning.
  • Understanding of a 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 apply a scientific technical approach to problem solving.
  • Experience as a customer-facing engineering leader supporting defense and internally funded development programs.
  • Ability to contribute to government contract proposal writing.
  • Strong written and verbal communication skills.
  • Ability to lead a team of 6–20 engineers.

Responsibilities

  • Serve as Chief Engineer on Shield AI projects developing and deploying autonomy solutions for unmanned aircraft.
  • Lead a team 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.

Desired Qualifications

  • UK security clearance.

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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