Senior Engineer, Ground Control Software (GCS) (R3510)
Shield AI
What you'll do:
- 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 closely with teams across autonomy, embedded systems, backend, and UX 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/code reviews.
Required qualifications:
- Bachelor’s degree with 4+ years of relevant experience, or Masters with 3+ years, or PhD with 1+ year.
- 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 (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.
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.
- Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.
- Exposure to distributed systems and cloud integration for telemetry data pipelines.
- Understanding of security best practices in control systems and networked applications.