Shield AI

Ground Control Station (GCS) Software Engineer (R3963)

Shield AI$120K — $145K *
Aerospace & Defense
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree needed; advanced degrees preferred with adjusted experience requirements.
  • 5+ years of experience for Senior role; 7+ for Staff; 10+ for Senior Staff roles.
  • Experience building real-time applications, preferably for UAVs, robotics, or simulation.
  • Proficiency in strongly typed languages like C#, TypeScript, Java, or C++.
  • Experience with web technologies, particularly React, TypeScript/JavaScript, and Node.js.
  • Solid software engineering skills including version control, testing, and performance profiling.
  • Eligibility to obtain security clearance.

Responsibilities

  • Design and develop ground control software for low-latency UAV communication.
  • Build robust client and server applications supporting telemetry and real-time control.
  • Create responsive user interfaces using React and TypeScript.
  • Collaborate with teams across multiple domains for integrated solution delivery.
  • Contribute to system architecture ensuring responsiveness and scalability.
  • Lead feature development from design through deployment.
  • Write well-tested code and engage in code reviews.

Benefits

  • Bonus opportunities based on performance.
  • Equity options available to employees.
  • Comprehensive benefits package offered to full-time regular employees.
  • Temporary benefits offered after 60 days for temporary employees.
Full Job Description
Job Description:

We're looking for a Software Engineer to join our team developing next-generation Ground Control Station (GCS) applications for unmanned aerial systems (UAS). This role is ideal for engineers with a strong foundation in real-time, performance-sensitive software who also bring experience with modern web technologies.

You'll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.

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:
  • Senior: Bachelor's degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.
  • Staff: Bachelor's degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.
  • Senior Staff: Bachelor's degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.
  • 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.
  • 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.
  • 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.

#LI-AA1

#LC

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

About Shield AI

Shield AI is a defense technology company that develops artificially intelligent systems for military applications. The company was founded in 2015 by Brandon Tseng, Ryan Tseng, and Andrew Reiter, and is headquartered in San Diego, California. Shield AI's products include autonomous drones and software that can be used for reconnaissance, surveillance, and other military operations. The company's mission is to reduce the number of military casualties by providing soldiers with better intelligence and situational awareness. Shield AI has received funding from a number of investors, including Andreessen Horowitz and Founders Fund.
Learn more about Shield AI
Size
200 employees
Industry
Founded
2015

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