Research Software Engineer

• 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.

• 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.

We provide machine learning products and services at scale to some of the largest companies in the world. Focus on meta-learning and visual domain ML.
Intuition Machines has decades of software and ML expertise. We build and operate massively scalable systems to tackle some of today's hardest problems.