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Shield AI

Builds autonomous aircraft for defense

Staff Engineer - Core Platform Integration

Embedded EngineeringUpdated on Nov 14
Full-timeSan Diego, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience with strong software engineering experience in robotics, autonomy, embedded systems, distributed systems, or similarly complex platforms.
  • Strong experience with C++ and Python and experience building developer tools, configuration systems, orchestration frameworks, or automation.
  • Experience integrating and debugging software across Linux-based systems, hardware interfaces, deployment environments, and APIs, including use of measurement or diagnostic tools such as oscilloscopes, logic analyzers, or protocol analyzers to debug embedded communication interfaces.
  • A B.S. or Master’s degree in Engineering, Computer Science, or a related field.
  • Ability to work independently in ambiguous technical areas and drive cross-functional integration efforts to completion.
  • Strong communication and collaboration skills.

Responsibilities

  • Own platform integration across SIL, HIL, VIL, and edge deployment workflows, ensuring components work together reliably and are easy for developers to use.
  • Build and maintain reference workspaces, platform reference implementations, and tooling that accelerate development, testing, deployment, and validation.
  • Integrate platform-level software across hardware, sensors, controllers, APIs, configuration, orchestration, and fleet/device management systems.
  • Support embedded platform bring-up and hardware diversification across developer boards, iron birds, aircraft/vehicle test platforms, and other reference hardware.
  • Improve platform stability, API quality, developer experience, and system scalability for mission-critical product and customer commitments.
  • Partner with autonomy, hardware, product, and program teams to identify integration gaps and deliver durable solutions.

Desired Qualifications

  • Experience with SIL, HIL, and VIL workflows for autonomy, robotics, aerospace, automotive, or defense systems.
  • Experience with embedded Linux, BSP development, build systems, device trees, bootloaders, or hardware bring-up.
  • Experience with edge deployment, device discovery, fleet management, OTA workflows, or application deployment to remote devices.
  • Experience with platforms such as Jetson, Qualcomm, i.MX8, or similar embedded compute hardware.
  • Experience integrating sensor drivers, controller interfaces, vehicle interfaces, hardware abstraction layers, or reference test 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
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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