Navigation Engineer (GNC)

Who Are We?

At HyPrix, we're building transonic payload delivery systems for autonomy. Things that fly fast we're enabling them with conscious software. Replicating the capabilities of expensive conventional frontline systems we're building the cheapest micro cruise missile systems on the planet. Built for a war of attrition, built for the era of software-defined warfare, built to cater to the front lines of battlefields where no man should stand in the future. Learn more about us: https://hyprix.in

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: 2–3 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. Bachelor's or Master's 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.

Should You Really Join Us?

If you like learning, if you like figuring things out by yourself without others telling you how to do it and thrive under work pressure to ship missiles then this is for you. Join us to take ownership of your work. We are a lean team there is no rule book to what we're doing. You have an end goal which is based on a real product and you need to get it done your own way. It's hard, and we all love it here.