Ground System Full Stack Software Engineer (R4787)

Seattle, Washington DRONES Full-time $150k to $250k Posted Apr 7, 2026
Apply on Shield AI (opens in a new tab) Sourced via jobs.lever.co · Posted 2026-04-07

About this role

Shield AI is hiring a Ground System Full Stack Software Engineer (R4787), full-time, on-site in Seattle, Washington, in the DRONES sector.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

Job Description:

We are seeking a highly motivated Ground System Software Engineer to design, develop, and maintain software systems for the X-BAT Platform. This role focuses on building robust ground control stations, mission planning tools, communication interfaces, and infrastructure that enable the X-BAT mission, and supports operational requirements safe and efficient drone operations.

You'll work at the intersection of all major components of the X-BAT Platform and its systems, providing user-facing applications to operate X-BAT and supporting equipment or vehicles, and will be collaborating closely with our Aircraft Software, Hivemind, and Flight Test teams to design this state-of-the-art ground system.

What you'll do

  • Design, develop, and optimize next-gen ground control software that enables low-latency communication with UAVs and other autonomous platforms.
  • Build high-performance 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/vehicle state.
  • Collaborate closely with teams across autonomy, embedded systems, human factors, and UX to deliver integrated, field-ready solutions.
  • Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.
  • Lead and/or participate in 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/code reviews.

Required qualifications:

  • Senior: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 5+ years of professional software development experience, or Masters with 4+ years, or PhD with 2+ years.
  • Staff: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 7+ years of professional software development experience, or Masters with 6+ years, or PhD with 4+ years.
  • Senior Staff: Bachelor’s degree in Computer Science, Software Engineering, Robotics, or a related field with 9+ years of professional software development experience, or Masters with 8+ years, or PhD with 6+ years.
  • Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.
  • Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.
  • Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.
  • Proven ability to deliver high-quality software as part of a collaborative engineering team.
  • Experience building distributed systems or networked applications
  • Experience developing user interfaces (e.g., React, Vue, QT, or similar frameworks)
  • Strong debugging, problem solving, and system integration skills
  • Speed and proficiency without the use of Generative AI tools (due to the nature of our work, these are prohibited)
  • Ability to work in a fast-paced, cross-functional engineering environment
  • Ability to obtain security clearance

Preferred qualifications:

  • Experience with GCS software, mission planning tools, or real-time visualization platforms.
  • Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.
  • Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.
  • Experience with UAS platforms and AI/ML systems.
  • Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD 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 within Gov and/or Defense environments
#LI-AA1 #LD

Description from Shield AI's official posting. Always confirm details on the company careers page.

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About Shield AI

Shield AI

Company in the mobility sector tracked nightly on the Mobility Jobs board.

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About Larry Sherwood Jr.

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Curated by Larry Sherwood Jr. on the free Mobility Jobs board. Pulled nightly from company applicant tracking systems. Apply directly on the source link above to be considered.