Senior Staff Engineer, Fleet Support (R3670)
Shield AI
What You'll Do:
- Collect and analyze telemetry logs, diagnostic data, and operator reports to identify trends, root causes, and areas for investigation.
- Act as the first line of technical support for UAS crews and customers, receiving reports of anomalies, bugs, or failures during operations.
- Prioritize and triage issues for internal engineering teams and provide field-ready feedback and recommendations for immediate mitigation.
- Serve as a key voice in fleet health monitoring, flagging recurring or systemic issues across multiple aircraft or ground systems.
- Collaborate with engineering and flight test teams to ensure that field issues are accurately reproduced, tested, and resolved.
- Maintain a real-time issue tracking system and help develop corrective action workflows for software, hardware, and integration-related bugs.
- Participate in technical debriefs, product feedback loops, and incident investigations to improve product robustness and mission success.
Required Qualifications:
- Bachelor's degree in Aerospace Engineering or related field.
- 5+ years of experience in UAS, aerospace, avionics, robotics, or field engineering support roles.
- Strong understanding of UAS system components (airframe, autopilot, avionics, payload, ground control systems).
- Proficiency in statistical and signal processing techniques to analyze telemetry data and system logs to identify performance or reliability issues.
- Excellent communication skills to bridge field and engineering teams effectively.
- Familiarity with issue tracking systems (e.g., Jira) and collaborative tools (e.g., Confluence).
- Familiarity with Python scripting.
Preferred Qualifications:
- Prior experience supporting tactical or military UAS operations or deployed field teams.
- Knowledge of Controller Area Network (CAN) communication protocol, network protocols and architecture, GNSS, datalinks, and avionics systems.
- Familiarity with Linux systems, or log analysis tools (e.g., MATLAB).