About the job
Senior Full Stack Engineer – NODA AI
Location: Austin, TX (Hybrid on-site, with up to 20% travel)
Clearance Requirement: Must be a U. S. Citizen and capable of obtaining a security clearance.
About NODA AI
NODA AI, a veteran-owned and venture-backed technology enterprise, is pioneering advancements in unmanned systems collaboration within complex, mission-critical scenarios. We are at the forefront of developing next-generation solutions that facilitate the autonomous orchestration of diverse unmanned systems across various terrains, including air, sea, land, and space, with significant applications in defense, intelligence, and commercial sectors.
Our Full Stack Engineers play a crucial role in constructing backend services and operator interfaces that enable seamless mission control and coordination across a variety of unmanned platforms. We bridge cutting-edge autonomous systems with human decision-making through robust APIs and responsive web applications.
Joining NODA AI means engaging with innovative technology that expands the horizons of autonomy, as part of a team that values creativity, rapid iteration, and collaboration.
The Role
We are looking for a forward-thinking Senior Full Stack Engineer to architect and develop the backend services and operator interfaces that drive our autonomous vehicle orchestration platform. You will be responsible for creating mission control applications, real-time data processing systems, and the APIs that link human operators with autonomous fleets across multiple domains.
Your primary focus will be on building scalable backend services that integrate seamlessly with ROS2-based autonomous systems, developing robust data pipelines for telemetry processing, and crafting responsive web interfaces for mission planning and fleet coordination. This role requires strong C++ proficiency to interact directly with autonomous system middleware, and the ability to connect robotics systems with contemporary web applications.
Key Responsibilities
- Develop scalable backend APIs and microservices using Python and C++ within an event-driven architecture to facilitate real-time orchestration.
- Design and implement event-driven data pipelines for processing telemetry, sensor feeds, and mission data from diverse vehicle fleets utilizing publish/subscribe methodologies.
- Create dynamic operator interfaces using React for mission planning, fleet coordination, and system monitoring.
- Establish WebSocket-based communications to enable low-latency interactions between operators and autonomous systems.

