Research Software Engineer

Research Software Engineer

Phoenix, AZ

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 lunar science and data processing, spacecraft subsystems design, development, and test, on‑orbit operations, and safety.

• Develop software in support of operating multiple remote sensing instruments.
• Develop software to process received remote sensing data for various research and archival purposes.
• Create and execute software test plans for this software including both unit and functional testing.
• Interface with published APIs of other software.
• Collaborate with scientists and engineers to create tools for data visualization, analysis,data reduction,and archiving.
• Build understanding of research activities and goals to better serve the advancement of knowledge within relevant research domains.
• Create andmaintaindocumentation for software tools and workflows.
• Participate in code reviews and contribute to best practices for software development.
• Support the integration and testing of software.

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
• 2+ years of relevant professional experienceorequivalent experience.
• Experience with programming languages such asC++,Ruby, Python,and IDL.
• Project andtime management skills.
• Knowledge of data structures and algorithms.
• Strong problem-solving,analyticalandlearning skills.
• Understanding of the Software Development Lifecycle (SDLC).
• Understanding of coding standard sand testingideologies.
• Proficiency in Linux/Unixand
  
  MacOSenvironments.
• Proficiency using software version control such as Subversion or Git.
• Keen interest in and ability to follow and contribute to emerging research in planetary science and related fields.
• Ability towork both independently and as part of a team.

• Experiencewithrelational databases, database management, and SQL.
• Experience with GIS techniques such as map projection.
• Experience with mathematical concepts such asframe/point rotation,coordinatetransformation,and statistical analysis.
• Experience with agile development methodologies.
• Strong technical and researchwriting skills.
• Experience with concurrent and parallel programming techniques.
• Knowledge of planetary science or remote sensing.

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.