Energy Jobline ZR
Path Planning & Sequencing Software Lead -Lunar Terrain Vehicle
Energy Jobline ZR, Glen Burnie, Maryland, United States, 21060
Job DescriptionJob Description
Path Planning & Sequencing 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 onboard path planning and sequencing software, responsible for assessing safe driving paths to reach waypoints and executing complex self-driving sequences.
Responsibilities
Proactively identify and document requirements for the vehicle path planning and sequencing software
Architect and decompose the software solution for path planning and sequencing
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 path planning and sequencing software at NASA safety panels
Supervise several internal employees and contractors
Qualifications
Experience in path planning algorithms, state machine design, and dynamic vehicle stability analysis
Path planning algorithms: Hybrid A*, D*, and modern approaches
State Machine Design: Coordinating vehicle movement sequences and command authority
Dynamic Vehicle Stability Analysis: Verifying the output of static path planning algorithms and identifying safe speeds of travel to maintain stable vehicle control
Failure Detection, Isolation, and Response (FDIR) logic for all-of-the-above
Experience in verification by simulation for complex self-driving systems
Development and maintenance of high-quality design and testing documentation
Demonstrated relevant project experience (planetary rovers, autonomous vehicles, robotics, etc.)
/Tool Experience
C or C ++ (required)
Python or other modeling/analysis (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 , , , race, , , , , protected veteran status, , or any other characteristic protected by law.
Path Planning & Sequencing 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 onboard path planning and sequencing software, responsible for assessing safe driving paths to reach waypoints and executing complex self-driving sequences.
Responsibilities
Proactively identify and document requirements for the vehicle path planning and sequencing software
Architect and decompose the software solution for path planning and sequencing
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 path planning and sequencing software at NASA safety panels
Supervise several internal employees and contractors
Qualifications
Experience in path planning algorithms, state machine design, and dynamic vehicle stability analysis
Path planning algorithms: Hybrid A*, D*, and modern approaches
State Machine Design: Coordinating vehicle movement sequences and command authority
Dynamic Vehicle Stability Analysis: Verifying the output of static path planning algorithms and identifying safe speeds of travel to maintain stable vehicle control
Failure Detection, Isolation, and Response (FDIR) logic for all-of-the-above
Experience in verification by simulation for complex self-driving systems
Development and maintenance of high-quality design and testing documentation
Demonstrated relevant project experience (planetary rovers, autonomous vehicles, robotics, etc.)
/Tool Experience
C or C ++ (required)
Python or other modeling/analysis (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 , , , race, , , , , protected veteran status, , or any other characteristic protected by law.