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Shield AI

Builds autonomous aircraft for defense

Senior Manager, Autonomy

Engineering LeadershipUpdated on Nov 14
Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • A BS or MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a related field.
  • At least 10 years of industry experience in autonomy and/or unmanned systems platforms, such as defense technology or autonomous vehicles.
  • At least 7 years delivering software into high-reliability production or certifiable environments.
  • At least 2 years managing technical teams.
  • Deep proficiency in C++.
  • Understanding of guidance, navigation, and control, including controls, estimation, and planning.
  • Understanding of the full robotics stack, including perception, estimation, planning, and controls.
  • 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.
  • Demonstrated problem-solving skills using a structured, scientific approach.
  • Experience as a customer-facing engineering leader supporting defense and internally funded development programs.
  • Experience contributing to government contract proposals.
  • Proven leadership of teams of 6–20 engineers.
  • Fluent written and spoken English and Mandarin.

Responsibilities

  • Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
  • Balance hands-on technical oversight with performance optimization, innovation, and stakeholder communication.
  • Lead a team responsible for advancing Hivemind and shaping 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 government defense contracts.
  • Deliver autonomy solutions and provide leadership and guidance on system architecture, design, development, risk mitigation, and product quality.
  • Ensure the integration of Hivemind across aircraft ranging from small unmanned systems to large autonomous collaborative platforms.

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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