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Find your Fit at Vishvasys Aerospace

Key Responsibilities:

  • Develop high-fidelity dynamic models for Multirotor, Fixed-wing and VTOL UAVs using CFD data and aerodynamic analysis.
  • Conduct parameter identification from flight tests to refine vehicle models and aerodynamic parameters.
  • Design and implement flight control strategies utilizing identified aerodynamic parameters for various UAV platforms.
  • Perform extensive Software-in-the-Loop (SITL) simulations in ROS/Gazebo and MATLAB/Simulink.
  • Perform extensive Software-in-the-Loop (SITL) simulations in ROS/Gazebo.
  • Conduct real-world flight testing to validate performance.

Required Qualifications & Skills:

  • Tech./M.Tech. in Aerospace, Mechatronics, Mechanical, Electrical Engineering, or related fields.
  • Strong foundation in flight mechanics, control theory, and applied mathematics.
  • Proficiency in C++ and Python for algorithm implementation, simulation, and data analysis.
  • Experience with ROS/Gazebo, or similar simulation environments.
  • Strong knowledge and hands-on experience with PX4/Ardupilot or equivalent flight stacks.
  • Experience with CFD integration and flight test data analysis

Desired Qualifications and Skills:

  • Strong communication (oral & written) and interpersonal abilities.
  • Team-oriented mindset with problem-solving skills.
  • Demonstrated ability to learn and adapt to new technologies.
  • Ability to analyze complex technical problems, diagnose root causes, and propose structured solutions.

How to Apply? 

Interested candidates should send their detailed CV, academic Transcript, and Statement of Suitability to connect@vapl.tech (subject: Application – Flight Control Engineer).

Key Responsibilities:

  • Design multi-sensor data fusion algorithms for integrating data from IMU, LiDAR, cameras, and other sensors.
  • Implement vision-based localization and mapping techniques for autonomous navigation.
  • Develop advanced SLAM (Simultaneous Localization and Mapping), visual-inertial odometry, and terrain-relative navigation (TRN) solutions.
  • Optimize navigation algorithms for robust performance on embedded or edge-AI platforms with resource constraints.
  • Conduct extensive SITL/HITL simulations (ROS/Gazebo) and real-world flight tests to verify navigation performance.

Required Qualifications & Skills:

  • B.Tech/M.Tech in aerospace, robotics, electrical, computer science, or related fields.
  • Strong background in computer vision, autonomous navigation, sensor fusion, and related estimation techniques.
  • Proficiency in Python and C++ for algorithm development, simulation, and data analysis.
  • Experience with ROS, Gazebo, and simulation environments for robotics.
  • Strong knowledge and hands-on experience with PX4/Ardupilot or equivalent flight stacks.Prior hands-on experience in developing, testing, and deploying navigation algorithms on drones or mobile robots.
  • Solid understanding of sensor suite integration (cameras, IMU, LiDAR, radar, barometer, etc.).

Desired Qualifications and Skills:

  • Familiarity with edge AI deployment, Linux, and embedded systems.
  • Knowledge of deep learning-based perception and localization methods.
  • Good communication, documentation, and teamwork skills.
  • Ability to troubleshoot and solve complex technical issues independently and collaboratively.
  • Willingness to learn new technologies and adapt to new challenges.

How to Apply:
Interested candidates should send their CV, academic transcript, and a Statement of Suitability to connect@vapl.tech (subject: Application – Navigation Systems Engineer).