Guidance, Navigation, and Control (GNC) Engineer - Navigation

Aule Space

Bengaluru

On-site

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

Full time

14 days+

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Benefits offered by this job

ESOPs

Job summary

Aule Space in Bengaluru is seeking a GNC Engineer to develop navigation and state-estimation capabilities for autonomous spacecraft operations, including GNSS/INS navigation, attitude and orbit determination, and rendezvous navigation.

You will design, implement, test EKF and other estimators, validate algorithms on flight hardware, and collaborate with flight software, systems, and mission design teams to integrate navigation solutions.

Qualifications

  • Degree in Aerospace, Electronics, Control Systems or related engineering field
  • 1+ years in spacecraft navigation, state estimation, GNSS/INS, robotics, or related area
  • Experience with MATLAB/Simulink/C/C++ or Python
  • Strong understanding of estimation theory and sensor fusion

Responsibilities

  • Design, implement, test, and validate spacecraft navigation and state-estimation algorithms
  • Develop and tune EKF and other estimators for spacecraft applications
  • Support navigation algorithm development for rendezvous and autonomous operations
  • Create high-fidelity sensor models including noise, bias, scale factors, misalignment and latency
  • Analyze navigation performance and troubleshoot estimation issues using simulations and data
  • Collaborate with GNC, flight software, systems and mission design teams to integrate navigation solutions

Skills

State estimation
Sensor fusion
Kalman filtering
C/C++
Python

Education

Bachelor's or Master's in Aerospace/Controls

Tools

MATLAB
Simulink

Job description

As a GNC Engineer, you will focus on developing the navigation and state-estimation capabilities that enable precise and autonomous spacecraft operations. You will work on spacecraft state estimation, sensor fusion, GNSS/INS navigation, attitude and orbit determination, and relative navigation for rendezvous and proximity operations.

Responsibilities
  • Design, implement, test, and validate spacecraft navigation and state-estimation algorithms
  • Develop and tune Extended Kalman Filters (EKF) and other state-estimation algorithms for spacecraft applications
  • Support navigation algorithm development for rendezvous, proximity operations, and autonomous spacecraft operations
  • Develop high-fidelity sensor models including measurement noise, bias, scale factor, misalignment, latency, and other error sources
  • Analyze navigation performance and troubleshoot estimation issues using simulation and test data
  • Perform navigation error analysis, observability analysis, covariance analysis, Monte Carlo simulations, and performance assessment
  • Support the implementation and integration of navigation algorithms on flight hardware and participate in SIL, PIL, and HIL testing and validation activities
  • Collaborate with GNC, flight software, systems, and mission design teams to integrate navigation solutions into the spacecraft
What We Look for
  • Bachelor's or Master's degree in Aerospace, Electronics, Control Systems, or a related engineering discipline
  • 1+ years of experience in spacecraft navigation, state estimation, GNSS/INS, robotics, or a related field
  • Experience with MATLAB, Simulink, C/C++, and/or Python
  • Strong understanding of estimation theory, Kalman filtering, state-space models, probability, and sensor fusion
  • Understanding of spacecraft navigation sensors such as GNSS, IMU, star trackers, and optical navigation sensors
  • Experience with numerical analysis, simulation, and algorithm development
  • You thrive in fast-paced, dynamic environments, adapt quickly, and enjoy solving hard problems
Preferred Qualifications
  • Professional or academic experience with GNSS-based orbit determination and/or relative GPS navigation
  • Experience implementing navigation algorithms on flight computer
  • Experience supporting or conducting SIL, PIL, or HIL testing and validation
What We Offer
  • Competitive compensation including ESOPs
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