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Shield AI

Builds autonomous aircraft for defense

Ground Control Station Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeDallas, TX, USAIn-person

About the Job

Requirements

  • A Bachelor's degree with 5 or more years of relevant experience, a Master's degree with 4 or more years, or a PhD with 2 or more years for Senior level.
  • A Bachelor's degree with 7 or more years of relevant experience, a Master's degree with 6 or more years, or a PhD with 4 or more years for Staff level.
  • A Bachelor's degree with 10 or more years of relevant experience, a Master's degree with 9 or more years, or a PhD with 7 or more years for Senior Staff level.
  • Demonstrated experience building real-time or performance-sensitive applications, preferably for UAVs, robotics, autonomous vehicles, or simulation environments.
  • Proficiency in a strongly typed programming language such as C#, TypeScript, Java, or C++, with exposure to lower-level systems or protocol integration.
  • Experience with web technologies, especially React, TypeScript or JavaScript, and Node.js.
  • Strong software engineering fundamentals, including version control, testing, debugging, and performance profiling.
  • Ability to deliver high-quality software as part of a collaborative engineering team.
  • Ability to obtain a security clearance.

Responsibilities

  • Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.
  • Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.
  • Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.
  • Collaborate with teams across autonomy, embedded systems, backend, and user experience to deliver integrated, field-ready solutions.
  • Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault tolerance.
  • Lead development efforts on key features or subsystems, from early design through deployment and iteration.
  • Write high-quality, well-tested code and participate in peer design and code reviews.

Desired Qualifications

  • Experience with ground control station software, mission planning tools, or real-time visualization platforms.
  • Familiarity with API-driven systems using REST or gRPC, and communication protocols such as WebSocket or custom telemetry formats.
  • Knowledge of standards such as STANAG 4586, Cursor on Target, or MAVLink.
  • Familiarity with containerized environments such as Docker or Kubernetes and continuous integration and continuous delivery practices.
  • Exposure to distributed systems and cloud integration for telemetry data pipelines.
  • Understanding of security best practices in control systems and networked 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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