Space Robotics & Autonomy Engineer
Job in
Golden, Jefferson County, Colorado, 80402, USA
Listed on 2026-10-25
Listing for:
Lunar Outpost
Full Time
position Listed on 2026-10-25
Job specializations:
-
Engineering
Robotics, AI Engineer (Applied/Software), Aerospace / Aviation / Avionics
Job Description & How to Apply Below
You will design and implement motion planning, decision-making, task planning, and coordination algorithms that enable robotic systems to operate independently in challenging lunar and orbital environments. Working closely with flight hardware and fielded robotic systems, you will enable advanced autonomy capabilities on the next great frontier. You will collaborate with cross-disciplinary teams across robotics, software, systems, electrical, and mechanical engineering to build a state-of-the-art autonomy stack for future lunar missions.
This role is ideal for engineers with backgrounds in robotics, autonomous systems, mobile robots, multi-agent systems, artificial intelligence, motion planning, autonomous vehicles, or space robotics. We welcome candidates from robotics, aerospace, defence, field robotics, AI/ML, and advanced autonomy backgrounds who are excited to push the boundaries of what autonomous systems can accomplish in space. Take the #Next Leap with Lunar Outpost and work on the Pegasus LTV, which will carry NASA astronauts farther than they've ever been before on the lunar surface!
Working Conditions /
Schedule:
This position is required to be onsite Monday, Tuesday, Thursday, and Friday from 9:00 a.m. to 5:00 p.m. Where applicable, employees may work remotely on Wednesdays from 9:00 a.m. to 5:00 p.m. Additional hours may be required based on business needs.
Key Responsibilities Lead the design and development of decentralized decision-making and motion planning algorithms for lunar rovers and orbital assets. Develop and implement robust software capable of enabling autonomous operations in challenging lunar environments. Collaborate with systems, mechanical, electrical, and thermal engineering teams to integrate and optimize autonomy software with asset hardware. Utilize simulation techniques to improve autonomous system performance and reliability under various conditions in space.
Conduct field tests and simulations to validate and refine algorithms and software systems. Ensure software systems adhere to industry standards for safety, reliability, and performance in space exploration contexts. Develop and maintain technical documentation, including ICDs and verification plans. Participate in design reviews, trade studies, and technical risk assessments. Stay at the forefront of autonomy and robotics technology, incorporating the latest advancements into our projects.
Required Qualifications Bachelor’s degree or higher in Computer Science, Robotics Engineering, or related field
At least 3 years of relevant professional experience in developing autonomy software for autonomous systems, with a proven track record in navigation, perception, or belief space planning. Applicants should have expertise in at least one of the following areas:
Methods for solving Markov decision processes (e.g., value iterate, Monte Carlo tree search, reinforcement learning)
Coordinated planning and control of multi-agent systems
Motion planning methods (e.g., A*, FMM, RRT)
Belief space planning (e.g., BRM, RRBT)
Tasking and scheduling
Orbital planning and control algorithms
Experience developing robotics software for autonomous vehicles, mobile robots, drones, spacecraft, planetary rovers, unmanned systems, or multi-robot platforms. Expertise in programming languages such as C++, Python, and familiarity with ROS/ROS2 (Robot Operating System) Comfortable working in research-oriented, agile, and interdisciplinary teams. Track record of innovation in networking, robotics, or space systems, as demonstrated by patents, publications, or significant project achievements Exceptional ability to communicate complex technical concepts and collaborate across various engineering disciplines U.S. Citizen
Preferred Qualifications M.S. or Ph.D. in a field relevant to autonomy or robotics directly applicable to autonomous navigation and guidance
Experience with autonomous systems in space, or other extreme, unstructured, environments.
Familiarity with space operating systems (e.g., VxWorks) and software…
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