Voyager Technologies
Software Engineer
$150K–$200K
El Segundo, CA +1 · Full-time · Posted Apr 3, 2026
- Location
- El Segundo, CA
El Segundo, California, United States - Experience
- 5+ years with a BS, or 3+ years with an MS, in the specified technical fields.
- Education
- BS or MS in Computer Science, Computer Engineering, or a related technical field.
- Visa sponsorship
- Applicants must be a U.S. Person (U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C. § 1324b(a)(3)) and eligible to obtain required export authorizations.
About the job
Designs and develops software for processing, managing, analyzing, and visualizing large-scale geospatial datasets, especially SAR imagery, for government and other customers.
What you'll do
- Build and maintain geospatial data pipelines, backend services, databases, and APIs.
- Develop geospatial visualization and analysis tools and integrate research capabilities into operational software.
- Contribute to architecture, testing, optimization, documentation, and software delivery in collaboration with multidisciplinary teams.
What they ask for
- BS in Computer Science, Computer Engineering, or a related technical field and 5+ years of professional software development experience, or MS in one of these fields and 3+ years.
- Academic background or foundational training in physics.
- Strong Python programming skills and experience developing software in Linux environments.
- Ability to obtain and maintain a Top Secret/SCI security clearance; must be a U.S. Person and eligible for required export authorizations.
Nice to have
- Experience with geospatial data, remote sensing, databases, scalable systems, geospatial services, cloud, or pipeline tools.
- Experience with agentic AI frameworks for geospatial workflows or familiarity with Model Context Protocol (MCP).
Pay
$150,000.00 to $200,000.00 USD base salary
Tools
Python, Linux, PostGIS, WMS/WFS, Docker, Kubernetes, AWS, QGIS
AI focus
Preferred experience developing or integrating agentic AI frameworks to automate geospatial workflows, autonomous analysis, or complex data processing pipelines; familiarity with MCP for secure connections between AI models and geospatial systems.
Model-written summary · the original posting is authoritative