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Shield AI

Builds autonomous aircraft for defense

Manager – Engineering - Software Integration

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Diego, CA, USAIn-person

About the Job

Requirements

  • Typically requires a minimum of 7 years of related experience with a bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related field; alternatively, 6 years of experience with a master's degree or 4 years with a PhD.
  • Proficiency in Python or C++.
  • Experience with autonomous systems or middleware.
  • Experience designing integration workflows, communicating system dependencies, and triaging and reporting integration defects across subsystem boundaries.
  • Experience leading software integration engineers and owning integration roadmaps and release schedules.

Responsibilities

  • Mentor and develop a team of engineers focused on software integration, system validation, and developer experience.
  • Establish team priorities, drive execution, and foster a culture of technical excellence, ownership, and continuous improvement.
  • Contribute to system integration, validation, and debugging activities and develop deep expertise in the autonomy stack.
  • Guide the architecture and implementation of integration frameworks, deployment workflows, and configuration management tools that streamline validation across Software-in-the-Loop, Hardware-in-the-Loop, and flight environments.
  • Review system logs, telemetry, and rosbag data to diagnose integration defects.
  • Lead cross-functional investigations, establish corrective actions, and create tooling that accelerates debugging and issue resolution.
  • Ensure integrated capabilities meet product requirements and interface specifications.
  • Develop a deep understanding of the Hivemind SDK, identify gaps from a customer perspective, and drive improvements across the platform.
  • Partner with Engineering, Product, and Program teams to integrate new autonomy capabilities, evaluate feature completeness, and ensure customers can efficiently build, test, and deploy mission-ready autonomous systems.

Desired Qualifications

  • Experience building complex systems with a strong understanding of software architecture and design principles.
  • Experience with hardware or embedded systems.
  • Expert knowledge of Python.
  • Experience with ROS.
  • Experience with white box testing.
  • Familiarity with networking, operating systems, and radio communications.
  • Experience supporting customer applications.

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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