Mobility Software Lead -Lunar Terrain Vehicle

Job Description

Mobility Software Lead
- Lunar Terrain Vehicle

(NASA LTVS Award Contingent)

Houston, Texas OR Glen Burnie, MD

About Intuitive Machines:

Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon.

Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety.

* Employment in this role is contingent upon NASA selecting Intuitive Machines as the winner of the LTVS program, scheduled for announcement later in 2025.

About The Role: (This role is posted at multiple levels, from entry to technical lead, with multiple openings)

Lead a small team in the development and certification of the LTV mobility software, performing dynamic control of the vehicle to conform to driver inputs or the prescribed self-driving path and continuously ensuring the mechanical health of the vehicle

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
• Comfortable developing software in a high-reliability environment, compliant to NASA standards NPR 7150.2D and 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
• Stability Analysis:
  Classical gain/phase margin analysis, real-world testing, and Monte Carlo analysis
• Experience with automatic systems for traction control, stability control, and brake control
• 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

• Language/Tool
  
  Experience:
• C or C++ (required)
• Python or other modeling/analysis languages (nice-to-have)
• Git, Jira, Jama
• CANbus experience preferred

EEOC

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