Navigation Engineer

Aeron Systems Pvt. Ltd.

Pune District

On-site

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

Full time

8 days ago

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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
C
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
  • Proficiency with Python/Octave for modelling, simulation and visualization
  • Working knowledge of C is preferred
  • Solid understanding of engineering principles, fundamental physics
  • Experience with Git, SVN, and software PLM processes
  • Excellent problem-solving and analytical skills
Location

Pune

Email Address

hr@aeronsystems.com

Job Type

Full - Time

Category

R&D Software

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