Field Systems Integration Engineer

Key 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

Required Qualifications

• 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

Preferred Qualifications

• 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