Ursa Space Systems is building ground-breaking solutions to deliver global intelligence to organizations worldwide. The company is looking for skilled software engineers to join their growing team to build ground-breaking solutions to deliver global economic intelligence to organizations around the world.
Requirements
- Python programming skills, with experience in APIs and web services.
- Knowledge of DSPy, Claude Agent SDK, and Model Context Protocol is a major plus.
- Experience in Java and/or object-oriented software development
- Experience with software organizational tools and frameworks(e.g. Git, Docker, Anaconda, virtual environments, etc.)
- Familiarity with AWS S3, Linux environments, and EC2 instance development
- SpatioTemporal Asset Catalog (STAC) understanding and experience
- Experience in GIS tools and libraries
Responsibilities
- Contribute to an agile development team building high-performance services, APIs, and UIs to support production and distribution of the Ursa product line
- Focus on projects that utilize satellite data, synthetic aperture radar (SAR), or other relevant geospatial technologies
- Research how LLMs can be applied to space-related data, improving automation, efficiency, and insight extraction from complex data sources
- Take initiative in growing skills related to signal processing, machine learning, LLMs, and data analysis through mentorship and collaboration with the team
- Stay up-to-date with new software development technologies and tools
- Work closely with software engineers to develop and enhance data processing pipelines, enabling efficient ingestion, transformation, and distribution of geospatial data
- Work with the Software Team to plan, groom, estimate, implement, and test features in an iterative manner
Other
- 2-3 years of relevant experience (internships or academic projects acceptable)
- Strong communication skills
- Curiosity and a desire to learn about technical subjects
- Organized and self motivated, able to successfully work with a remote team
- A creative, intuitive, and flexible mindset to approach complex problems and build innovative solutions.
