Flight R&D Engineer

Ovii's Interpretation of the Role

As a Flight R&D Engineer at Airbound in Bangalore, you’ll analyze flight logs, conduct hardware inspections, and define safety behaviours for cutting‑edge UAVs. The role blends aerospace fundamentals with software development to improve reliability and scalability of autonomous aircraft.

Role Snapshot

• Hands‑on flight data analysis
• Root‑cause investigation
• Hardware inspection & failure analysis
• Failsafe logic definition
• Sensor integration support
• Technical report authoring
• Collaboration with software & systems teams

Must-Have Requirements

• Flight mechanics, rigid body dynamics, aerodynamic principles
• UAV log analysis tools (UAV Log viewer, ArduPilot Web Tools)
• Hands‑on UAV building/flying/repair experience
• Python for data processing and visualization
• Technical writing for RCA reports
• aerospace/UAV experience
• flight mechanics knowledge
• Bachelor's degree in Aeronautics, Mechanical Engineering, Physics, or related discipline

Nice-to-Have Signals

• Control theory (PID loops, stability margins)
• MAVLink, dataflash logs, telemetry formats
• SITL environments or hardware‑in‑the‑loop testing
• control theory exposure
• SITL/HIL testing experience

Work Setup

• Location: Bangalore, India
• Work mode: ONSITE
• Relocation: relocation assistance provided
• Employment type: Full-Time
• Shift: alternate Saturdays

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Security clearance
• Coding test

What You'll Likely Work On

• Own the post‑flight analysis pipeline: parse, visualize, and interpret logs using UAV Log viewer and ArduPilot tools.
• Conduct systematic post‑incident inspections of airframe, propulsion, and avionics, maintaining checklists and airworthiness standards.
• Define, review, and validate failsafe logic for stability loss, communication loss, sensor degradation, battery faults, and actuator failures.
• Support integration of new sensors and peripherals through bench characterization, ground testing, and in‑flight data quality evaluation.
• Produce structured Root Cause Analysis reports that trace failures to physical origins with quantitative evidence.
• Collaborate with software and systems engineers to translate operational risk into concrete parameter recommendations and behavioural specifications.

Good Fit If You Have

• Enjoys first‑principles problem solving and digging into anomalies.
• Curiosity about aerospace, UAVs, and robotics.
• Exposure to control theory (PID loops, stability margins).
• Familiarity with MAVLink or telemetry formats.
• Experience with SITL or hardware‑in‑the‑loop testing.