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LiDAR Autonomy Hardware Specialist - Lunar Terrain Vehicle

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Intuitive Machines
Full Time position
Listed on 2026-05-20
Job specializations:
  • Engineering
    Hardware Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Full Time, Intuitive Machines HQ, Houston, TX, US

Location:

Houston, Texas OR Glen Burnie, MD

LiDAR Autonomy Hardware Specialist - Lunar Terrain Vehicle

Overview of Role

Serve as the key technical authority for LiDAR systems on the LTV vehicle, which are used to detect hazards around LTV and guide LTV along a safe path.

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

Responsibilities
  • Demonstrate expert-level first-principles understanding of all aspects of sensor operation
  • Understand integrated hardware/software operation, customer requirements, safe handling procedures and interface to hardware vendors to ensure all requirements are met
  • Generate, manage, and verify requirements for all LTV LiDAR systems
  • Coordinate with hardware vendors to intimately understand their hardware and software design and make actionable insights relating to sensor accuracy, safety, and reliability
  • Analyze hardware performance and produce trade studies
  • Coordinate the procurement of prototype and flight hardware with purchasing staff, and maintain hardware histories for each item
  • Collaborate in the development and validation of simulation models for the sensors addressing both ideal and non-ideal operation
  • Write and execute test plans for all LTV LiDAR systems
  • As time allows, support other technical tasks within the autonomy team
Qualifications
  • Bachelor’s degree in Physics, Engineering, Computer Science, Robotics, or related field (Master’s preferred)
  • Experience with motion LiDAR in aerospace, defense, automotive, robotic, or mining contexts
  • Experience designing and certifying motion LiDAR hardware systems for safety-critical applications
  • Experience with hardware acceleration for motion LiDAR data processing
  • Experience building simulation models
  • Familiar with high-reliability hardware standards (ISO 26262, ISO 21448, UL 4600, IEEE P)
Language/Tool Experience
  • Jira, Jama
  • MATLAB, Python, or other modeling languages
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.

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