Engineer II, Software - Ground Control Station - Full Stack - New Grad - 6140
Washington, DC at a glance
- Rent
- #1 of 51$3,190/mo+50% vs US avg
- Weather
- #41 of 51150 mild days80 hot · 21 cold
- Income tax
- #5 of 5110.75% top rateDistrict of Columbia
What you need
- Bachelor's, Master's, or PhD in CS, Robotics, EE, Aerospace, or related field
- 2+ yrs related experience or equivalent work experience
- JavaScript or TypeScript with modern frontend framework
- HTTP APIs, asynchronous data flows, client-server debugging
- Ability to obtain a SECRET clearance
What you'll do
- Build and test full-stack extensions to Hivemind Commander
- Develop operator workflows for planning and reviewing missions
- Connect extension interfaces to Commander and ground-service APIs
- Implement supporting service endpoints and data flows
- Add frontend, backend, and integration tests
The Ground Control Station (GCS) Software team extends the Hivemind Commander platform to support mission planning, command and control, and post-mission debrief for operators of unmanned systems. Our full-stack engineers build web-based operator experiences and supporting services that bring program and platform capabilities into Commander.
As an Engineer II, you will build and test Hivemind Commander extensions across the user interface and backend. You will deliver assigned planning, C2, and debrief workflows using established platform patterns and interface contracts, with senior engineers guiding architecture, major interface decisions, and release readiness.
What you'll do:
* Build and test full-stack extensions to Hivemind Commander for mission planning, live C2, and post-mission debrief.
* Develop operator workflows for planning and reviewing missions, visualizing telemetry and platform status, issuing supported commands, and exploring recorded mission data.
* Connect extension interfaces to Commander and ground-service APIs using established contracts; handle live updates, data validation, error states, and operator-visible feedback.
* Implement supporting service endpoints and data flows for mission, command/status, and debrief information, with attention to reliability and traceability of operator actions.
* Add frontend, backend, and integration tests, including representative telemetry playback or simulated operator workflows where appropriate.
* Diagnose extension issues across browser behavior, API responses, service logs, and network connections in representative test environments.
* Collaborate with Commander platform, UX, autonomy, and test teammates to clarify requirements, verify integration points, and support lab or field-test preparation.
* Document extension behavior, test evidence, interface assumptions, and operator-visible limitations.
We are seeking Autonomous Software Engineers for full-time roles starting in 2027! This is a paid, in-person, full-time position for students graduating during the 2026-2027 academic year. We are now reviewing applications for positions starting after graduation in 2027.
Required Qualifications
Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, Aerospace Engineering, or a related field, graduating between December 2026 and August 2027.
Typically 2+ years of related experience with a Bachelor's degree, or equivalent work experience; relevant graduate work or substantial project experience may be considered.
Experience building web interfaces with JavaScript or TypeScript and a modern frontend framework, and contributing to backend services or APIs in a production, research, or substantial project setting.
Familiarity with HTTP APIs, asynchronous data flows, and debugging interactions between client and server.
Ability to complete an assigned feature with tests and documentation, communicate risks, and seek guidance on larger design or safety decisions.
Preferred Qualifications
Experience extending an existing software platform or building maps/GIS, telemetry visualization, mission-planning interfaces, or playback and debrief tools.
Familiarity with databases, streaming data, containerized services, or networked and distributed systems.
Exposure to unmanned systems, vehicle-control protocols, or C2 interoperability standards.
Experience validating operator workflows in simulation, lab, or field-test environments.
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About Shield AI
Shield AI is a defense technology company building the world's best AI pilot. Their Hivemind AI enables autonomous operations for aircraft, including the V-BAT team drone, without requiring GPS, communications, or a human pilot.
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