Navigation Engineer

Aeron Systems Pvt. Ltd.

Pune District

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Aeron Systems Pvt. Ltd. in Pune is seeking a talented navigation engineer to join our inertial sensors team. You will design, implement, and test navigation and estimation algorithms for real-world data.

The role requires strong skills in DSP, sensor fusion, and state estimation, plus Python/Octave modelling and C programming. You will collaborate with product design teams and continuously improve algorithms based on field data.

Qualifications

Proficiency with Python/Octave for modelling, simulation and visualization.
Working knowledge of C is preferred.
Experience with Git, SVN, and software PLM processes.
Excellent problem-solving and analytical skills.

Responsibilities

Design, implement, and test navigation and estimation algorithms.
Collaborate with product design teams and application teams.
Stay up to date with latest trends and field data for validation.

Skills

Python

Octave

DSP

Sensor Fusion

Estimation

Control Algorithms

Git

SVN

Mathematics

Linear Algebra

Navigation Filters

GNSS

Education

B.E./B.Tech./M.Tech./M.Sc in Electronics / Aerospace / Computer Science / Applied Physics / Mathematics

Experience in DSP, sensor fusion, estimation, and control algorithms

Tools

Git

SVN

Software PLM

Job description

We seek a highly talented navigation engineer to join our inertial sensors team. The engineer will be responsible for designing, implementing, and testing navigation and estimation algorithms.

Technical Skills

Understanding of discrete systems, discrete signal processing, and multi-rate systems.
Hands-on experience in various types of mathematical modelling.
Characterization and understanding the behavior of nonlinear systems.
Hands-on experience of graphical and analytical tools for system modelling, visualization, and simulations.
Solid understanding of statistics and probability theory
Solid knowledge of optimal estimation filters and overall estimation theory, linear and nonlinear optimal estimators
Understanding of algorithm optimization by memory usage and computational perspective
Knowledge of control systems fundamentals such as standard test inputs, phase and frequency response, state-space modelling, Fourier and Laplace transform.
Fundamental understanding of classical physics, and kinematic equations.
Fundamental understanding of basic mathematics, differentiation, integration, linear algebra, vector space, etc.
Understanding of different reference frames used in navigation systems.
Understanding of attitude and position estimation by different sensor fusion techniques and the role of different inertial sensors in attitude/heading/velocity/position estimation and dead reckoning.
Understanding of different types of inertial sensors such as accelerometers, gyroscopes, inclinometers, and magnetometers.
Understanding of navigation filters such as aided/unaided navigation, and different types of coupling used in navigation.
Understanding of strap-down inertial navigation systems, their modes of operations, and system alignment.
Solid understanding of Euler angles and their representation, Direction cosine, and quaternion coordinate transformations.
Understanding of GNSS systems, working principles, and understanding of various GPS parameters.
Testing of algorithms in real-life conditions and with field data sets
Working closely with product design teams, product owners, and application teams
Stay up to date with the latest trends, study legacy documentation on the subject, and evolve your understanding

Academic Qualifications

B.E./B.Tech/M.Tech/M.Sc in Electronics / Aerospace / Computer Science / Applied Physics / Mathematics
Experience in DSP, sensor fusion, estimation, and control algorithms

Required Skills and Experience