Perception Software Lead - Lunar Terrain Vehicle 

NASA LTVS Award Contingent)

Houston, Texas

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 perception system, fusing data from LiDARs, cameras, and IMUs into a single coherent map of the rover’s surroundings.

Responsibilities

• Proactively identify and document requirements for the vehicle perception syste
• Architect and decompose the software solution for vehicle perception
• 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 perception software at NASA safety panels
• Supervise several internal employees and contractors

Qualifications 

• Bachelors degree in computer science, computer engineering etc. 
• Expertise in machine vision, sensor fusion, and Simultaneous Localization and Mapping (SLAM), including LiDAR-inertial and visual-inertial odometry
• Experience ingesting, processing, and fusing data from monocular and stereoscopic imaging systems, LiDARs, IMUs, Star Trackers, and GP
• Sensor fusion techniques, including classical Kalman filters, multiplicative Kalman filters, and pose graph optimization
• Failure Detection, Isolation, and Response (FDIR) logic for all-of-the-above
• Experience in verification by simulation for complex perception 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)
• Familiar with FPGA, GPU, and NPU hardware acceleration techniques for algorithms and able to coordinate with hardware acceleration engineers to implement and validate algorithms
• Git, Jira, Jama

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, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.