Location: Austin, TX (Hybrid on-site, with up to 20% travel)
Clearance Requirement: U.S. Citizen with the ability to obtain a security clearance
NODA is a veteran-owned, venture-backed technology company that is transforming how unmanned systems collaborate in complex, mission-critical environments. We are developing next-generation solutions that enable the autonomous orchestration of heterogeneous unmanned systems across air, sea, land, and space with vital applications in the defense, intelligence, and commercial sectors.
Our Full Stack Engineers build the backend services and operator interfaces that enable seamless mission control and coordination across diverse unmanned platforms, bridging complex autonomous systems with human decision-making through robust APIs and responsive web applications.
Joining NODA means working on meaningful technology that pushes the boundaries of autonomy alongside a team that thrives on innovation, rapid iteration, and collaboration.
We are seeking a Senior Full Stack Engineer to design and build the backend services and operator interfaces that power our autonomous vehicle orchestration platform. You will create mission control applications, real-time data processing systems, and the APIs that connect human operators with autonomous fleets operating across multiple domains.
Your work will focus on building scalable backend services that integrate with ROS2-based autonomous systems, developing robust data pipelines for telemetry processing, and creating responsive web interfaces for mission planning and fleet coordination. This role requires strong C++ skills to work directly with autonomous system middleware and the ability to bridge robotics systems with modern web applications.
Build scalable backend APIs and microservices using Python and C++ within an event-driven architecture for real-time orchestration operations
Design and implement event-driven data pipelines that process telemetry, sensor feeds, and mission data from heterogeneous vehicle fleets using publish/subscribe patterns
Develop responsive operator interfaces using React for mission planning, fleet coordination, and system monitoring
Create WebSocket-based communications for low-latency operator interactions with autonomous systems
Build data transformation and aggregation services that prepare autonomous system data for operator consumption
Implement secure, role-based access controls and authentication systems for multi-user mission control environments
Design and maintain database schemas and query optimization for high-throughput operational data
Collaborate with autonomy engineers to integrate vehicle control systems and sensor data streams
Support integration with diverse autonomous platforms through RESTful APIs, ROS2 topics, and message queuing systems
Ensure application resilience and performance through comprehensive testing, monitoring, and deployment automation
5+ years of professional full-stack development experience building production systems
Strong proficiency in C++ with experience in systems programming and performance optimization
Expert-level Python skills with experience in FastAPI, Flask, or Django frameworks
Experience with ROS2 middleware, including topics, services, and distributed robotics systems
Proficiency in JavaScript/TypeScript and React with modern development practices
Strong database design and optimization skills (PostgreSQL, NoSQL)
Experience building real-time applications using WebSockets, message queuing, and event-driven data streaming
Knowledge of RESTful API design principles, microservices architecture, and event-driven system patterns
Understanding of Linux system programming and multi-threaded application development
U.S. Citizenship with the ability to obtain a security clearance
C++ multithreaded systems; GRPC/Protobuf; DB design/tuning
Experience with robotics middleware beyond ROS2 (DDS, MQTT, or custom protocols)
Knowledge of autonomous vehicle systems (UAVs, USVs, UUVs) and associated data formats
Experience with real-time data streaming technologies (Kafka, Redis Streams, ZeroMQ)
Familiarity with computer vision libraries and sensor data processing (OpenCV, PCL)
Experience with container technologies (Docker) and cloud deployment (AWS)
Understanding of networking fundamentals and distributed systems concepts
Background in mission-critical or real-time system development
Knowledge of geospatial data handling and coordinate system transformations
Experience with observability tools (Grafana, Prometheus) and application performance monitoring
Previous work in defense, aerospace, or autonomous systems industries
Systems programmer comfortable working across the full stack from low-level C++ to modern web interfaces
Strong understanding of real-time systems, concurrency, and performance optimization
Detail-oriented approach to data integrity, system reliability, and security in mission-critical applications
Collaborative mindset with ability to work effectively across autonomy, AI, and infrastructure teams
Problem solver skilled at debugging complex distributed systems and integration issues
Quality-focused with commitment to testing, documentation, and maintainable code practices
Hybrid work environment
Competitive pay
Flexible time off
Generous PTO policy
Federal holidays
Generous health, dental, and vision benefits
Free OneMedical membership
401(k)
Tech Lead, AI-Oriented Full Stack – drive architecture at the intersection of operator-facing systems and AI orchestration.
Principal Engineer / Orchestration Systems Lead – guide cross-domain software development and AI integration at scale.
We are an Equal Opportunity Employer and welcome applicants from all backgrounds. All qualified individuals will receive consideration for employment regardless of race, age, color, religion, sex, national origin, disability, or protected veteran status.
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