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Navigation & Estimation Engineer

Actively Reviewing the Applications

InCommon

India, Maharashtra Full-Time On-site

Posted 10 hours ago • Apply by June 16, 2026

Job Description

InCommon is hiring on behalf of Altair.

About the Company

Altair Infrasec Pvt. Ltd. is a deep-tech defence company building mission-critical systems for the Indian Armed Forces. Operating at the intersection of advanced engineering and real-world deployment, Altair develops end-to-end technologies across AI/ML, signal processing, aerospace, electronics, and systems engineering. With a strong focus on in-house capability and technical ownership, the team works on high-impact programs spanning naval, army, and air force applications—delivering complex, combat-relevant systems with speed and precision.

Role Overview

We are looking for a GNC Engineer specializing in Navigation and Estimation to manage the mathematical and predictive core of our tracking systems. This role focuses on the back-end of the pipeline: converting optical observations into precise spatial coordinates, trajectories, and dynamic motion models.

Key Responsibilities

Spatial Mathematics: Implement complex 3D coordinate transformations, conversion between multiple reference frames (Earth-referenced and inertial), and utilize rotation matrices, quaternions, and spherical geometry.
Position & Orientation Computation: Derivation of geographic or spatial position and orientation from angular optical measurements.
Trajectory Estimation: Estimate velocity and acceleration from time-series data and reconstruct trajectories using multi-frame triangulation and kinematic models.
Advanced Filtering: Implement and tune predictive tracking algorithms using Kalman Filters (EKF, UKF) or particle filters.
Error Modeling: Conduct robust error propagation, stability analysis, and bias correction to compensate for systematic and environmental effects.
Simulation & Validation: Develop synthetic datasets and simulations of optical systems to validate algorithm performance under both controlled and real-world stress tests.

Technical Qualifications

Mathematical Foundation: Strong command of linear algebra, numerical methods, and statistical modeling/uncertainty estimation.
Software Proficiency: Strong proficiency in C/C++ or Python for efficient numerical implementation.
System Design: Ability to develop clean, modular, production-grade code for sensor fusion and complex estimation tasks.