Lead technical investigations and RCCA activities to improve reliability across V2 and V3 aircraft fleets. Requires 7+ years in aerospace or safety-critical industries and strong data analysis and troubleshooting skills.
Salary not listed
On-site7+ YOEHardware Engineering
About the role
What You'll Do
Lead the RCCA Lifecycle: Own the end-to-end investigation process for fleet reliability issues, from initial intake and root-cause analysis through to implementation, validation, and permanent closure.
Drive Data-Driven Insights: Analyze complex flight logs, telemetry, manufacturing, and maintenance data to identify systemic reliability trends and recurring failure modes.
Collaborate Across Disciplines: Partner with Flight Test, Manufacturing, Software, and Engineering teams to reproduce anomalies, conduct hands-on investigations, and deploy corrective actions.
Communicate & Document Findings: Author technical reports and RCCA documentation suitable for engineering reviews, leadership, and regulatory needs, ensuring clear communication of engineering decisions.
Improve Fleet Health: Proactively contribute to reliability metrics, continuous improvement initiatives, and design feedback loops to ensure lessons learned improve future aircraft performance.
What You'll Bring
Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Systems Engineering, or a related technical discipline.
7+ years of engineering experience in aerospace, defense, autonomous systems, robotics, aviation, automotive, or other safety-critical industries.
Strong troubleshooting and systems-level problem-solving skills across hardware, software, and operational environments.
Experience applying investigation methodologies such as 8D, 5-Why, Fishbone, Fault Tree Analysis, Failure Modes and Effects Analysis (FMEA), or similar approaches.
Strong technical writing and communication skills with the ability to clearly communicate findings to engineers, leadership, customers, and external stakeholders.
Comfortable working hands-on with aircraft hardware, instrumentation, test equipment, and troubleshooting activities.
Proficiency with Python, SQL, or similar tools for data analysis and trend identification.
Bonus Points
Experience supporting unmanned aircraft systems (UAS), autonomous vehicles, or aviation platforms.
Familiarity with ArduPilot, PX4, MAVLink, DroneCAN, or comparable flight-control ecosystems.
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