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Shield AI

Builds autonomous aircraft for defense

Ground System Full Stack Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field with at least 5 years of professional software development experience for Senior; a master's degree with at least 4 years; or a PhD with at least 2 years.
  • A bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field with at least 7 years of professional software development experience for Staff; a master's degree with at least 6 years; or a PhD with at least 4 years.
  • A bachelor's degree in Computer Science, Software Engineering, Robotics, or a related field with at least 9 years of professional software development experience for Senior Staff; a master's degree with at least 8 years; or a PhD with at least 6 years.
  • 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.
  • Experience building distributed systems or networked applications.
  • Experience developing user interfaces using React, Vue, Qt, or similar frameworks.
  • Strong debugging, problem-solving, and system integration skills.
  • Ability to work productively without generative AI tools, which are prohibited for this work.
  • Ability to work in a fast-paced, cross-functional engineering environment.
  • Ability to obtain a security clearance.

Responsibilities

  • Design, develop, and optimize ground control software that enables low-latency communication with unmanned aerial vehicles and other autonomous platforms.
  • Build full-stack applications that support telemetry processing and fusion, mission planning, and real-time situational awareness.
  • Implement responsive user interfaces with React and TypeScript for telemetry readout and sensor feeds, operator workflows, and mission and vehicle state.
  • Collaborate with autonomy, embedded systems, human factors, and user experience teams to deliver integrated, field-ready solutions.
  • Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault tolerance.
  • Lead or participate in development efforts on key features or subsystems from early design through deployment and iteration.
  • Write 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 application programming interface-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.
  • Experience with unmanned aircraft systems platforms and artificial intelligence or machine learning systems.
  • Familiarity with containerized environments such as Docker and Kubernetes, and continuous integration and continuous delivery practices.
  • Exposure to distributed systems and cloud integration for telemetry data pipelines and sensor fusion.
  • Understanding of security best practices in control systems and networked applications.
  • Exposure to cybersecurity best practices for embedded or distributed systems, preferably in government or defense environments.

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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