Field Systems Integration Engineer

NODA AI•Austin, TX

23h•Hybrid

About The Position

We are seeking a Field Systems Integration Engineer to serve as the technical bridge between Solutions Engineering, Field Operations, and the broader engineering organization. This role ensures that NODA systems are not just assembled and operational, but integrated in a way that supports NODA’s architecture, mission workflows, communications assumptions, and internal testing objectives. You will work hands-on with radios, onboard compute, payloads, vehicle integrations, and onboard autonomy systems (PX4/ArduPilot) across fielded unmanned platforms. You will ensure Field Operations builds, configures, and executes systems in alignment with NODA’s technical intent, while identifying and resolving issues through structured debugging, log analysis, and system-level reasoning. This role requires understanding autopilot configuration, failsafe behavior, MAVLink communication, and autonomy stack integration, and using code, configuration, and scripts to bring repeatability and reliability to field integration workflows.

Requirements

2+ years of hands-on experience in robotics, unmanned systems, system integration, or field engineering environments
Hands-on experience with PX4 or ArduPilot
Strong understanding of autopilot configuration, flight modes, and failsafe behavior
Experience working with MAVLink and understanding telemetry and command flows
Strong troubleshooting ability across hardware and software boundaries
Experience working with embedded systems, onboard compute, radios, and networking
Ability to read logs, debug system behavior, and reason across multiple system layers
Basic proficiency in scripting or programming (Python, Bash, or similar)
Ability to read and understand code, APIs, and interface specifications
Comfort working in fast-moving, field-driven environments with incomplete information
Strong communication skills and ability to work across technical and non-technical teams
U.S. Citizen with the ability to obtain a security clearance

Nice To Haves

Experience with UAVs, UGVs, UUVs, or other unmanned systems
Familiarity with Linux systems, networking fundamentals, and distributed systems debugging
Experience with MAVSDK, MAVProxy, or similar MAVLink tooling
Experience with SITL/HITL simulation workflows
Exposure to ROS2, PX4, MAVLink, or similar robotics/autonomy frameworks
Experience integrating autonomy stacks with higher-level orchestration systems
Familiarity with DroneCode ecosystem and autopilot architecture
Experience supporting live demos, exercises, or field testing
Experience building repeatable workflows, scripts, or tooling for system bring-up and testing

Responsibilities

Serve as a day-to-day technical bridge between Solutions Engineering and Field Operations to ensure systems are built and configured in alignment with NODA architecture and mission requirements
Support hands-on integration, bring-up, and troubleshooting of radios, onboard compute, payloads, networking components, and unmanned platforms
Configure and debug onboard autonomy stacks (PX4, ArduPilot), including parameters, modes, and failsafe behavior
Understand and troubleshoot autopilot state machines, flight modes, and mission execution behavior
Manage and debug MAVLink communication, including routing, multiplexing, and telemetry flow between components
Integrate autopilot systems with radios, onboard compute, and mission control systems (e.g., URZA/Maestro)
Debug integration issues across hardware, software, networking, and configuration layers using structured, step-by-step approaches
Read and interpret logs, configs, interface definitions, and system outputs to diagnose issues and validate system behavior
Write or modify scripts and configuration files to improve setup, automation, and repeatability of integration workflows
Support development and execution of validation workflows including SITL, HITL, and field testing
Contribute to containerized test and qualification frameworks for unmanned systems prior to URZA integration
Ensure field-built systems do not diverge from NODA’s architecture, software assumptions, and communications design
Support field exercises and mission events by validating system readiness and assisting with rapid issue resolution
Capture recurring failure modes, integration issues, and field learnings to improve reliability and execution quality over time
Collaborate with engineering teams to surface systemic issues and improve integration patterns, tooling, and workflows