GNC & Software Intern

ABOUT THE ROLE

As a GNC & Software Intern, you will assist in the development, simulation, implementation, and testing of Guidance, Navigation & Control (GNC) algorithms and flight software for AnduraX's reusable re-entry vehicle and drop-test platforms. You will work on flight dynamics, sensor fusion, embedded software, autonomous control, and simulation environments while collaborating with the Aerodynamics, Avionics, Propulsion, and Systems Engineering teams. This is a highly hands-on role involving software development, Hardware-in-the-Loop (HIL) testing, vehicle integration, and flight campaigns.

RESPONSIBILITY

• Assist in developing Guidance, Navigation & Control (GNC) algorithms for flight vehicles and drop-test platforms.
• Support the implementation of sensor fusion algorithms using IMU, GNSS, barometer, and magnetometer data.
• Develop and test embedded software for flight computers, onboard sensors, and actuator control systems.
• Assist in implementing attitude estimation, state estimation, and flight control algorithms.
• Support the development of trajectory generation, guidance logic, and autonomous flight software.
• Perform simulations using MATLAB, Simulink, Python, or similar software environments.
• Assist in Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), and bench testing activities.
• Debug embedded software, communication interfaces, and flight electronics.
• Analyse telemetry, flight logs, and simulation results to improve system performance.
• Support vehicle integration, ground testing, drop-test campaigns, and post-flight analysis.
• Prepare technical documentation, engineering reports, and software documentation.
• Collaborate with Aerodynamics, Propulsion, Structures, Avionics, and Systems Engineering teams throughout the product development cycle.

REQUIREMENTS

• Pursuing or recently completed B.Tech/B.E. or M.Tech in Aerospace Engineering, Electronics & Communication Engineering, Computer Science, Robotics, Instrumentation, Mechatronics, or a related discipline.
• Strong fundamentals in Control Systems, Flight Mechanics, Dynamics, Kinematics, and Linear Algebra.
• Basic understanding of Guidance, Navigation & Control (GNC) principles.
• Familiarity with embedded programming using C/C++ and Python.
• Experience with MATLAB/Simulink, Python, or similar simulation environments.
• Basic understanding of sensor fusion, IMUs, GNSS, and state estimation techniques.
• Familiarity with communication protocols such as UART, SPI, I²C, or CAN.
• Strong analytical, programming, and problem-solving skills with an interest in autonomous aerospace systems.

PREFERRED SKILLS

• Experience with Formula Student, SAE Aero Design, CanSat, Rocketry, CubeSat, UAV, Robotics, or similar engineering projects.
• Hands-on experience with STM32, Pixhawk, Raspberry Pi, Teensy, or similar embedded platforms.
• Familiarity with PX4, ROS/ROS2, Gazebo, or other robotics and simulation frameworks.
• Experience developing embedded firmware or flight software.
• Exposure to Kalman Filters, PID/LQR/MPC controllers, or trajectory optimization.
• Experience with Git, Linux, and software version control.
• Exposure to Hardware-in-the-Loop (HIL), Software-in-the-Loop (SIL), or flight simulation environments.
• Understanding of the aerospace product development lifecycle.