GNC Intern: Spaceflight Dynamics & Simulations

Intuitive Machines Llc; Houston (TX); On-site; USD 30,000 - 41,000; Full time

Job summary

Intuitive Machines LLC in Houston, TX is seeking a GNC Intern for Summer 2027. You will work under experienced engineers on guidance, navigation and controls projects, gaining hands-on experience with TRICK simulations and Kalman filters.

The role targets students in aerospace or software engineering and offers exposure to Monte Carlo methods, algorithm development, testing, and collaborative project work in a spaceflight environment.

Qualifications

• Currently enrolled in a bachelor's, master's or PhD program in aerospace or mechanical engineering or related field.
• Strong interest in GNC, simulation tools and aerospace technology; familiarity with TRICK and Monte Carlo methods is a plus.
• Proficient in C++ and Python for aerospace simulations.
• Effective communication and teamwork abilities.
• Hands-on experience with TRICK and Monte Carlo simulations is encouraged.

Responsibilities

• Contribute to design and development of Guidance, Navigation & Controls systems for aerospace applications.
• Work with TRICK to create and execute simulations for GNC testing and validation.
• Utilize Monte Carlo methods to assess robustness of GNC algorithms.
• Collaborate on design and implementation of GNC algorithms with emphasis on accuracy and responsiveness.
• Participate in testing and validation activities under various scenarios and conditions.
• Collaborate with experienced GNC engineers on ongoing aerospace projects.
• Maintain detailed records of design, simulation activities and results.

Skills

C++

Python

GNC simulations

Education

Bachelor's/Master's/PhD in aerospace/mechanical engineering or related field

Tools

TRICK Toolkit

Job description

Intuitive Machines LLC in Houston, TX is seeking a GNC Intern for Summer 2027. You will work under experienced engineers on guidance, navigation and controls projects, gaining hands-on experience with TRICK simulations and Kalman filters.

The role targets students in aerospace or software engineering and offers exposure to Monte Carlo methods, algorithm development, testing, and collaborative project work in a spaceflight environment.