GNC Software Engineer for Lunar Spacecraft Flight Software

Insight Global

Houston (TX)

On-site

USD 120,000 - 180,000

Full time

25 hours ago
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Benefits offered by this job

7 holidays/year

Job summary

Insight Global is seeking a GNC Automation Engineer to support design, development, and validation of guidance, navigation, and control systems for advanced lunar spacecraft. Responsibilities include developing flight software, sensor and effector integration, HWIL/SWIL testing, and 6-DOF simulations.

Collaboration with software and systems teams drives mission success. The ideal candidate has a strong background in real-time software, Kalman filtering, and GN&C hardware such as IMU, Star

Qualifications

  • BS in Aerospace Engineering with 3+ years of experience or MS with 1+ year of experience.
  • 3+ years developing spacecraft automation software.
  • Experience with real-time software development.
  • Familiarity with GN&C hardware (IMU, Star Trackers, GPS, LIDAR, OpNav).
  • Experience with SWIL/HWIL testing and integration.
  • Exposure to relative navigation, image processing, or feature detection.

Responsibilities

  • Design, develop, and validate guidance, navigation, and control systems for lunar spacecraft.
  • Develop flight software and integrate navigation sensors and effectors.
  • Perform HWIL/SWIL testing and 6-DOF simulations.
  • Evaluate vehicle performance using orbital mechanics and real-time control techniques.

Skills

C
C++
Python
Real-time software development
Kalman filtering
6-DOF simulations
GN&C hardware
Image processing

Education

BS Aerospace Engineering
MS Aerospace Engineering

Tools

Git
VxWorks

Job description

Insight Global is seeking a GNC Automation Engineer to support design, development, and validation of guidance, navigation, and control systems for advanced lunar spacecraft. Responsibilities include developing flight software, sensor and effector integration, HWIL/SWIL testing, and 6-DOF simulations.

Collaboration with software and systems teams drives mission success. The ideal candidate has a strong background in real-time software, Kalman filtering, and GN&C hardware such as IMU, Star

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