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Mobility Software Lead -Lunar Terrain Vehicle

Job in Glen Burnie, Anne Arundel County, Maryland, 21060, USA
Listing for: Intuitive Machines
Full Time position
Listed on 2026-01-01
Job specializations:
  • Engineering
    Software Engineer
Job Description & How to Apply Below

Mobility Software Lead – Lunar Terrain Vehicle

Join Intuitive Machines in this Mobility Software Lead role focused on developing and certifying the Lunar Terrain Vehicle (LTV) software that ensures dynamic control of the vehicle and preserves its mechanical health.

About Intuitive Machines

Intuitive Machines is an innovative space company that makes cislunar space accessible to public and private customers. Its mission is to further science, exploration, communications, and economic progress from Earth to the Moon and beyond.

The company is proud to be a NASA-qualified contractor with a history of commercial lunar landings and is currently developing multiple NASA lunar missions. It supports a world‑class team that designs, builds, and tests spacecraft subsystems and on‑orbit operations.

Employment Location

Houston, Texas OR Glen Burnie, Maryland

Employment Details

Employment is contingent on Intuitive Machines winning the NASA Lunar Terrain Vehicle System (LTVS) award, scheduled to be announced later in 2025.

Responsibilities
  • Proactively identify and document requirements for the vehicle mobility software.
  • Architect and decompose the software solution for vehicle mobility.
  • Coordinate the testing and certification of the system.
  • Develop software in a high‑reliability environment, compliant with NASA standards NPR 7150.2D, NASA‑STD‑8739.8B, and NASA CBCS requirements (e.g., SSP 50038).
  • Represent mobility software at NASA safety panels.
  • Supervise several internal employees and contractors.
Qualifications
  • Expertise in control theory as applied to moving surface vehicles.
  • Proficiency in stability analysis: classical gain/phase margin, real‑world testing, and Monte Carlo analysis.
  • Experience with automatic systems for traction control, stability control, and brake control.
  • Knowledge of failure detection, isolation, and response (FDIR) logic for all‑of‑the‑above.
  • Experience in verification by simulation for complex mobility systems.
  • Development and maintenance of high‑quality design and testing documentation.
  • Demonstrated relevant project experience (planetary rovers, autonomous vehicles, robotics, etc.).
Language/Tool Experience
  • C or C++ (required)
  • Python or other modeling/analysis languages (nice to have)
  • Git, Jira, Jama
  • CANbus experience preferred
EEOC Statement

Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

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