Navigation, Guidance and Control Systems Engineer

Job Title: Navigation, Guidance and Control Systems Engineer

About the Project

This government-funded project focuses on the development and demonstration of drone and allied technologies. It aims to foster strong industry-academia collaborations to address real-world challenges and drive innovation, leveraging advanced technologies and infrastructure. Comprehensive training programs are an integral component.

Key Responsibilities

• Design and develop autonomous flight control, navigation, and guidance systems, including path and mission planning, for different classes of UAVs (Multi-rotor, Fixed-wing, VTOL) for the entire mission profile.
• Perform system identification and develop mathematical models of UAV dynamics.
• Calibrate and integrate various sensors, including IMUs, GPS, Barometer, LiDAR, Radars, Camera, and Optical flow sensors.
• Implement sensor fusion techniques for state and parameter estimation of UAVs.
• Integrate developed algorithms into onboard companion computers (e.g., Jetson, STM32 processor based boards).
• Design and develop algorithms for path planning/guidance strategies and control systems.
• Implement developed designs/algorithms with UAVs/Drones.
• Test and validate developed algorithms in a simulation environment closely resembling actual flight scenarios.
• Collaborate with cross-functional teams to enhance UAV system capabilities.
• Maintain proper documentation of the design process, test results, algorithm modifications, and provide technical reports.
• Undertake any other assigned work as per requirements.

Requirements & Tech Stack

• Experience of designing and developing algorithms for path planning/guidance strategies, control system, and navigation/sensor fusion.
• Familiarity with autopilot firmware, such as PX4 and ArduPilot.
• Knowledge of sensor selection for specific UAV applications and the sensor fusion process for increased accuracy and reliability.
• Knowledge of drones/aerial robots regarding their control and stability aspects.
• Proficiency in programming languages and simulation/modeling tools: Python, C/CPP, MATLAB/Simulink, ROS/ROS2, Gazebo.
• Software proficiency: Mission Planner, QGC, CubeIDE, CubeMX.
• Well-versed with communication protocols, such as MAVLINK.

Qualifications

• PhD in a relevant field OR
• MTech/ME or equivalent with relevant experience OR
• BTech/BE or equivalent with relevant experience.