Guidance and Navigation Engineer

Inferigence Quotient Pvt Ltd; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Inferigence Quotient Pvt Ltd seeks a Guidance & Navigation Engineer to design and implement state estimation, navigation, and guidance algorithms for autonomous UAVs. You will work across estimation theory, sensor fusion, and embedded systems to enable robust operation in GNSS-available and GNSS-denied environments.

The role involves developing EKF/UKF-based estimators, integrating IMU, GNSS, cameras, LiDAR, and other sensors, and validating algorithms in real-time on embedded platforms.

Qualifications

• B.E./B.Tech/M.E./M.Tech in Aerospace Engineering, Robotics, Electronics, Electrical Engineering, Computer Science, Mechatronics, or related discipline.
• 1–3 years of experience in navigation, estimation, robotics, autonomous systems, or UAV development.
• Strong understanding of Linear Algebra, Probability & Statistics, Estimation Theory, Kinematics, Coordinate Systems, and Control Systems.
• Experience developing estimation filters, especially EKF or UKF.
• Good understanding of IMU error modelling and inertial navigation.
• Experience with camera, IMU calibration and synchronisation.
• Experience with multi-sensor fusion.
• Strong programming skills in C++ and Python.
• Experience with MATLAB/Simulink for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Responsibilities

• Design, develop, and optimise navigation and guidance algorithms for UAVs.
• Develop state estimation algorithms using IMU, GNSS, magnetometer, barometer, cameras, LiDAR, radar, and other onboard sensors.
• Implement estimation filters such as EKF, UKF, and Point-mass Filter.
• Develop sensor fusion for localisation under degraded or denied GNSS.
• Work on inertial navigation, dead reckoning, VIO, VO, and multi-sensor navigation.
• Develop guidance algorithms for waypoint navigation, path following, trajectory generation, and autonomous missions.
• Perform simulation, validation, and performance analysis using MATLAB/Simulink, Python, or C++.
• Analyse flight logs and sensor data to improve accuracy and robustness.
• Integrate navigation software with autopilots, embedded processors, and avionics systems.
• Support HIL, SIL, and field flight testing.
• Collaborate with perception, controls, embedded software, and systems teams.

Skills

Navigation

Estimation theory

Robotics

Autonomous systems

UAV development

Education

B.E./B.Tech/M.E./M.Tech in Aerospace Engineering, Robotics, Electronics, Electrical Engineering, Computer Science, Mechatronics, or related discipline

Tools

MATLAB/Simulink

Git

Linux

Job description

Position: Guidance & Navigation Engineer

Experience: 1–3 Years

Location: Bengaluru, Karnataka

Employment Type: Full-time

About The Role

We are seeking a highly motivated Guidance and Navigation Engineer to join our autonomy and avionics team. The role involves developing, implementing, and validating state estimation, navigation, and guidance algorithms for autonomous UAVs operating in both GNSS-available and GNSS-denied environments.

The ideal candidate should have a strong foundation in estimation theory, sensor fusion, and navigation algorithms, along with hands‑on experience in implementing these algorithms on embedded or real‑time systems.

Key Responsibilities

• Design, develop, and optimise navigation and guidance algorithms for UAVs.
• Develop state estimation algorithms using IMU, GNSS, magnetometer, barometer, cameras, LiDAR, radar, and other onboard sensors.
• Design and implement estimation filters such as EKF, UKF, and Point‑mass Filter.
• Develop sensor fusion algorithms for robust localisation under degraded or denied GNSS conditions.
• Work on inertial navigation, dead reckoning, visual‑inertial odometry (VIO), visual odometry (VO), and multi‑sensor navigation systems.
• Develop guidance algorithms for waypoint navigation, path following, trajectory generation, and autonomous mission execution.
• Perform simulation, algorithm validation, and performance analysis using MATLAB/Simulink, Python, or C++.
• Analyse flight logs and sensor data to improve navigation accuracy and system robustness.
• Integrate navigation software with autopilots, embedded processors, and avionics systems.
• Support hardware‑in‑the‑loop (HIL), software‑in‑the‑loop (SIL), and field flight testing.
• Work closely with perception, controls, embedded software, and systems engineering teams.

Required Qualifications

• B.E./B.Tech/M.E./M.Tech in Aerospace Engineering, Robotics, Electronics, Electrical Engineering, Computer Science, Mechatronics, or a related discipline.
• 1–3 years of experience in navigation, estimation, robotics, autonomous systems, or UAV development.
• Strong understanding of Linear Algebra, Probability and Statistics, Estimation Theory, Kinematics, Coordinate Systems, and Control Systems.
• Experience developing estimation filters, especially EKF or UKF.
• Good understanding of IMU error modelling and inertial navigation.
• Experience with camera, IMU calibration and synchronisation.
• Experience with multi‑sensor fusion.
• Strong programming skills in C++ and Python.
• Experience with MATLAB/Simulink for algorithm development and validation.
• Familiarity with Linux development environments.
• Experience with Git version control.

Preferred Skills

• Experience with Visual‑Inertial Odometry (VIO), Visual Odometry (VO), or SLAM with loop closure techniques.
• Knowledge of factor graph optimisation (GTSAM, Ceres Solver, g2o, etc.).
• Experience with ROS/ROS2.
• Familiarity with PX4 or ArduPilot.
• Experience working with embedded Linux or ARM‑based processors.
• Understanding of UAV flight dynamics and autopilot architectures.
• Experience with flight data analysis and debugging.
• Exposure to airborne software development processes and coding standards (e.g., MISRA C++).

Personal Attributes

• Strong analytical and problem‑solving skills.
• Ability to work independently on challenging technical problems.
• Good communication and documentation skills.
• Passion for robotics, autonomous systems, and aerospace technologies.
• Willingness to participate in field trials and flight testing.

Skills

• VIO, ROS, PX4, Ardupilot, Avionics, Gazebo, FlightGear, and FlightDynamics.

This role offers the opportunity to work on cutting‑edge UAV autonomy technologies from algorithm development through real‑world flight validation.