Lead R&D Engineer | UAV Systems

Overview

The client is building next-generation ultra-lightweight delivery drones and needs a technically strong R&D leader who can:

  • Own multidisciplinary sub-projects (mechanical, electrical, systems, controls)

  • Improve aircraft performance metrics (payload-to-weight ratio, reliability, efficiency)

  • Drive structured experimentation and testing cycles

  • Take concepts from ideation → prototype → validation → deployment

  • Mentor and scale a small but high-performance R&D team

This is a hands-on technical leadership role, not a research-only or academic R&D position.

Job Description

  • Lead end-to-end R&D sub-projects for UAV system improvements

  • Define technical scope, success metrics, and validation frameworks

  • Decompose system-level problems into mechanical, electrical, software components

  • Own prototype development and testing cycles

  • Establish performance benchmarks and lifecycle testing protocols

  • Drive design reviews and failure analysis

  • Optimize structural weight, efficiency, and reliability

  • Coordinate across composites, avionics, controls, and systems teams

  • Mentor engineers and build scalable R&D workflows

  • Maintain documentation and engineering rigor

Skills & Requirements

Core Engineering Background (at least one domain strong)

  • Mechanical Design (lightweight structures, mechanisms, CAD optimization)

  • Electrical Systems (embedded systems, power systems, avionics)

  • Controls Systems (flight control algorithms, system stability)

  • Systems Engineering (integration, validation, testing)

  • Materials Engineering (composites, lightweight structures)

Cross-Functional Capability

  • Multidisciplinary systems integration

  • Prototype development and validation

  • Failure mode analysis (FMEA)

  • Reliability engineering

  • Design for manufacturability (DFM)

  • Test plan development and lifecycle validation

UAV / Aerospace-Specific Exposure (Preferred)

  • Aircraft structural optimization

  • UAV/Drone systems design

  • Payload-to-weight optimization

  • Aerodynamic efficiency considerations

  • Environmental testing (thermal, vibration, endurance)


Tools & Methods

  • CAD tools (SolidWorks / CATIA / Fusion / NX etc.)

  • Simulation tools (ANSYS / MATLAB / Simulink / CFD tools)

  • Embedded systems exposure (if relevant domain)

  • Structured R&D experimentation frameworks

  • Data-driven design iteration

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