Experience
1 - 4 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Engineer
Job Type
Not specified
Job Description
About the Role
The Navigation Engineer will own the "where am I, where am I going, and how fast" problem for platforms flying at supersonic speeds. You will design, simulate, and validate navigation and state estimation systems for multi-DOF projectile and aerial platforms working shoulder-to-shoulder with our GNC, flight dynamics, avionics, and systems teams to get them flight-ready. This is a hands-on role: you will be building the filters, characterising the sensors, and closing the loop between simulated performance and real flight data yourself.
Required Qualifications: -23 years of experience in a relevant role
Core Responsibilities
1) Navigation Filter Design & State Estimation
Required Qualifications: -23 years of experience in a relevant role
Core Responsibilities
1) Navigation Filter Design & State Estimation
Design and implement navigation filters like EKF, UKF, particle filters, and factor-graph based estimators for high-dynamic, sensor-constrained platforms. Build sensor fusion architectures across IMU, magnetometer, GNSS, barometric, and vision/radar-based aiding sources. Develop the full inertial navigation stack: strap down mechanisation, alignment routines, error modelling, and in-flight calibration for tactical- and industrial-grade MEMS IMUs.
2) Sensor Characterisation & Hardware Integration
Perform hands-on sensor characterisation on the bench setting up rate tables, shaker rigs, thermal chambers, and centrifuge tests; running Allan variance, PSD, vibration, and thermal sweeps to build real sensor error models. Select the navigation sensor stack and work with avionics to define interfaces across SPI, I2C, UART, CAN, and RS-422. Debug hardware integrations using oscilloscopes, logic analysers, and protocol sniffers.
3) Simulation & Performance Analysis
Run 6-DOF simulations, Monte Carlo analyses, and covariance studies to quantify navigation performance against mission requirements. Support HIL and SIL test campaigns, field trials, and post-flight data reconstruction. Close the loop between simulated performance and real flight data systematically and rigorously.
4) Embedded Implementation & Integration
Write production-quality C/C++ implementations of navigation algorithms for embedded flight computers. Collaborate with avionics and firmware engineers on integration, ensuring algorithms perform to specification under real embedded constraints.
Required Abilities
Strong grounding in Kalman filtering like EKF and UKF at minimum with hands-on experience in navigation, state estimation, or sensor fusion on UAVs, missiles, launch vehicles, spacecraft, or autonomous platforms. Bachelors or Masters in Aerospace, Electrical, Physics, Control Systems, Robotics, or a related engineering discipline. Proficiency in MATLAB/Simulink and Python with working knowledge of C/C++ for embedded targets. Comfort with sensor modelling and characterisation. Experience running tests on actual hardware bench, HIL, drop tests, flight tests, or vehicle trials.
Required Abilities
Strong grounding in Kalman filtering like EKF and UKF at minimum with hands-on experience in navigation, state estimation, or sensor fusion on UAVs, missiles, launch vehicles, spacecraft, or autonomous platforms. Bachelors or Masters in Aerospace, Electrical, Physics, Control Systems, Robotics, or a related engineering discipline. Proficiency in MATLAB/Simulink and Python with working knowledge of C/C++ for embedded targets. Comfort with sensor modelling and characterisation. Experience running tests on actual hardware bench, HIL, drop tests, flight tests, or vehicle trials.
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