Integration Engineer

NODA AI•Austin, TX

2d•Onsite

About The Position

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 Integration Engineers serve as the critical bridge between our orchestration platform and diverse autonomous systems, building the software interfaces and integration layers that enable seamless multi-domain operations in real-world environments. 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 an Integration Engineer to build and deploy the software integrations that connect our autonomous orchestration platform to unmanned vehicles, sensors, and partner systems. This is a hands-on software engineering role focused on developing adapters, protocol translators, and integration layers that enable heterogeneous systems to work together seamlessly. You'll write code to bridge our platform with vehicle control systems (MAVLink, custom APIs), develop interfaces for sensors and payloads, and deploy software in complex network environments. This role combines software development with field deployment—you'll build the integrations in the lab and validate them during live operations with defense and commercial partners. Expect up to 50% travel for field tests, demonstrations, and customer engagements.

Requirements

2+ years of software engineering experience with at least one of: Building system integrations, APIs, or middleware
Robotics or autonomous systems development
Embedded systems or hardware-software interfaces
Strong programming skills in Python and/or C++ for integration development, not just scripting
Experience integrating with external systems such as APIs, hardware protocols, or vehicle control interfaces
Networking fundamentals including TCP/IP, UDP, routing, subnetting, and network debugging
Advanced Linux proficiency including command line, shell scripting, system administration, and remote debugging
Experience with hardware integration for unmanned vehicles or embedded systems
Strong debugging and troubleshooting skills across software and hardware boundaries
Excellent written and verbal communication skills for technical documentation and stakeholder engagement
Ability and willingness to travel up to 50% to support field tests, demonstrations, and customer engagements
U.S. citizenship with ability to obtain security clearance

Nice To Haves

Hands-on experience with autonomous systems (UAS, UGV, USV, UUV)
Experience with vehicle communication and control protocols such as MAVLink, ROS/ROS2, or custom vehicle APIs
Familiarity with sensor integration (cameras, LIDAR, radar, EO/IR, RF sensors)
RF communications experience including link budgets, antenna placement, and connectivity troubleshooting
DevOps or deployment experience in secure, constrained, or classified environments
HIL/SIL simulation environments
Cloud networking, VPN, or VPC configuration
Experience with DoD/defense environments and compliance requirements
Existing security clearance

Responsibilities

Build software adapters and integration layers that connect our orchestration platform to unmanned vehicles, sensors, and third-party systems across air, sea, and land domains
Develop and maintain protocol translators for vehicle control systems (MAVLink, ROS/ROS2, custom APIs) and sensor data interfaces
Design, execute, and automate integration tests to validate system performance and reliability
Deploy and configure software integrations in operational environments, including complex network setups for multi-domain connectivity
Provide hands-on technical support during field operations, demonstrations, and customer engagements
Troubleshoot and debug integration issues across hardware, software, and network boundaries in both lab and field environments
Document integration patterns, deployment procedures, and lessons learned to accelerate future work
Collaborate with engineering, product, and operations teams to translate field experience into platform improvements