Research Software Engineer
Phoenix, AZ
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 lunar science and data processing, spacecraft subsystems design, development, and test, on-orbit operations, and safety.
Responsibilities:
- 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, reduction, and archiving.
- Build understanding of research activities and goals to better serve the advancement of knowledge within relevant research domains.
- Create and maintain documentation for software tools and workflows.
- Participate in code reviews and contribute to best practices for software development.
- Support the integration and testing of software.
Qualifications:
- Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
- 2+ years of relevant professional experience or equivalent experience.
- Experience with programming languages such as C++,Ruby, Python, and IDL.
- Project and time management skills.
- Knowledge of data structures and algorithms.
- Strong problem-solving, analytical and learning skills.
- Understanding of the Software Development Lifecycle (SDLC).
- Understanding of coding standards and testing ideologies.
- Proficiency in Linux/Unix and MacOS environments.
- 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 to work both independently and as part of a team.
Desired Qualifications:
- Experience with relational databases, database management, and SQL.
- Experience with GIS techniques such as map projection.
- Experience with mathematical concepts such as frame/point rotation, coordinate transformation, and statistical analysis.
- Experience with agile development methodologies.
- Strong technical and research writing skills.
- Experience with concurrent and parallel programming techniques.
- Knowledge of planetary science or remote sensing.
US EEO Statement
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.
