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

Ground System Full Stack Software Engineer (R4787)

Job Description:

What you'll do

Required qualifications:

Preferred qualifications:

Ready to apply?