Develop and optimize real-time Ground Control Station software for UAVs, building high-performance client/server systems, React/TypeScript UIs, telemetry processing, mission planning, and low-latency control. Collaborate across autonomy, embedded, backend, and UX teams, contribute to architecture, lead feature development, and produce well-tested, deployable software.
Founded in 2015, 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 and V-BAT and X-BAT aircraft. 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’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.
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.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead enterprise indirect procurement strategy across IT, software, professional services, facilities, travel, and marketing. Oversee strategic sourcing, RFx, contract negotiations, supplier governance, compliance (SOX, FAR/DFARS), procurement operations, stakeholder engagement, reporting, and continuous improvement to drive cost savings and supplier performance.
Top Skills:
AribaContract Lifecycle ManagementCoupaErpOracleP2PSAPWorkday
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design and develop primary and secondary structural components for next-generation UAVs through concept, CAD modeling, detailed design, verification testing, and production release. Collaborate with multidisciplinary teams, perform hand calculations and limited FEA, produce drawings and documentation, support manufacturing and flight test, and improve structural design practices.
Top Skills:
AbaqusAnsysCatiaDfmaGd&TNastranNxSolidworks
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Design, develop, and maintain ground control and mission-planning software for the X-BAT platform. Build full-stack, low-latency, fault-tolerant systems for telemetry fusion, operator UIs (React/TypeScript), communication interfaces, and integrations with autonomy and flight teams. Lead feature development, write well-tested code, and collaborate across embedded, UX, and flight-test teams to deliver field-ready solutions.
Top Skills:
C#C++Ci/CdCursor On TargetDockerGrpcJavaJavaScriptKubernetesMavlinkNode.jsQtReactRestStanag 4586TypescriptVueWebsocket
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

