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GET- Flight Operation
GET- Flight Operation

GET- Flight Operation at Bonv aero · Bhubaneswar · 0 - 3 years · ₹3L - ₹3.6L / yr · Profitable · Posted 9 Sep 2026

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GET- Flight Operation

Swati Khandualo's profile picture
Posted by Swati Khandualo
0 - 3 yrs
₹3L - ₹3.6L / yr
Bhubaneswar
Skills
Communication Skills
Interpersonal Skills
Customer Success

Company: BonV Aero

Location: Bhubaneswar | Extensive Travel Across India

Experience: Fresher / Entry-Level

Department: Customer Success

About the Role

We are looking for a Graduate Engineer Trainee – Flying Operations to support UAV flying, field deployment, maintenance, troubleshooting, and customer support. The role involves hands-on work at customer locations across India.

Key Responsibilities

  • Operate UAVs for testing, demonstrations, and customer operations.
  • Support UAV deployment, installation, and commissioning.
  • Perform basic maintenance, troubleshooting, and repairs.
  • Assist with customer training and after-sales support.
  • Maintain flight, maintenance, and service documentation.
  • Follow all safety protocols and SOPs.

Eligibility

B.Tech/B.E./Diploma in:

  • Electronics & Communication
  • Electrical
  • Mechanical
  • Mechatronics
  • Aerospace/Aeronautical
  • Robotics
  • Automobile
  • Computer Science or related fields

Preferred Skills

  • Basic understanding of UAVs, electronics, motors, batteries, and flight controllers.
  • Knowledge of ArduPilot/Mission Planner is an advantage.
  • Good communication and documentation skills.
  • Willingness to travel extensively and work in challenging field environments.

Interested candidates can apply by sharing their updated CV.

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About Bonv aero

Founded :
2021
Type :
Product
Size :
20-100
Stage :
Profitable

About

BonV Aero is the drone making company in India, building advanced UAV drones with heavy-payload capacity for logistics, defence, & high-altitude operations.
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Similar jobs (1)

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Neeta Trivedi
Posted by Neeta Trivedi
Bengaluru (Bangalore)
1 - 3 yrs
₹6L - ₹12L / yr
Robotics
Hardware-in-the-loop simulation
Simulation
Drone Application Development

At InferQ, we are building solutions for autonomous and intelligent aerial systems. We seek a Robotic Navigation Engineer with deep technical rigor and a passion for developing mission-critical navigation, estimation, and path planning systems for UAVs. The role demands hands-on engagement across the autonomy stack. You will work at the intersection of robotics, AI, and aerospace, translating research into reliable field-deployable systems.


Key Responsibilities

  • Architect and implement algorithms for joint state estimation, integrating multi-sensor inputs.
  • Develop dynamic and real-time path planning solutions for UAVs.
  • Create and validate flight simulations using various COTS Simulators or custom HIL/SIL test environments.
  • Design and integrate advanced navigation systems.
  • Work with avionics, AI, and controls teams to integrate autonomy modules on flight computers and mission systems.
  • Conduct flight trials, performance evaluation, and algorithm optimization under real mission conditions.
  • Support development of mission-critical autonomy frameworks for UAV systems.


Skillset/ Experience Required

  • Strong foundation in linear and nonlinear state estimation and multi-sensor fusion.
  • Expertise in path planning and trajectory optimization for aerial platforms.
  • Proficiency in C++ / Python and ROS / ROS2 for robotic system development.
  • Experience with aerospace kinematics and dynamics modeling, flight control integration, and navigation system design.
  • Hands-on experience with Gazebo / X-Plane / AirSim / Unreal Engine simulators.
  • Practical understanding of vision-based SLAM, visual odometry, and obstacle avoidance.
  • Strong analytical and debugging skills, with a systems-engineering mindset.
  • Exposure to AI-based perception systems.
  • Integration of algorithms with embedded flight computers.
  • Experience with HIL/SIL test setups and flight telemetry systems.
  • Familiarity with DO-178C, DO-254, or other lifecycle processes is a plus.


Educational Qualification

  • B.E. / B.Tech / M.Tech / Ph.D. in Aerospace, Robotics, Computer Science, Electrical, or related disciplines.
  • Academic or project focus in Autonomous Systems, Estimation, Navigation, or AI-based Robotics is preferred.


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