About the role
Why LeoLabs?
At LeoLabs, we’re building the living map of activity in space. Through our proprietary global radar network and AI-enabled analytics platform, we collect millions of measurements daily on more than 25,000 objects in low Earth orbit (LEO). Our radar-powered intelligence protects billions in assets, monitors adversarial behavior, and ensures safe operations for commercial and government missions.
We’re not just building technology, we are redefining global security, safety, and transparency in space. As orbital activity accelerates and threats grow more complex, LeoLabs is a trusted partner for Space Domain Awareness, Space Traffic Management, and Satellite Operations for top-tier space operators and allied defense organizations.
If you're looking to work on mission-critical challenges at the forefront of aerospace, national security, and AI, your impact starts here.
As an SSA Solutions Engineer at LeoLabs you will work at the intersection of customers, data analytics, and engineering. You will coordinate technical conversations with customers, translate operational requirements into actionable engineering requests, and perform analytical tasks to validate solutions. This is a hands-on role for someone with a technical background who enjoys problem solving, communicating with both technical and non-technical stakeholders, and learning in a fast-paced environment.
Key Responsibilities
- Customer engagement: Participate in technical discussions with customers to gather requirements, clarify objectives, and scope deliverables.
- Requirements translation: Convert customer needs and operational goals into clear requirements, user stories, or technical specifications.
- Solution support: Work with product and engineering teams to prototype, specify, and validate solutions; test and verify feature behavior against requirements.
- Data analysis: Perform basic-to-intermediate analysis of SSA datasets (e.g., TLEs, tracking data, covariance/position error, conjunction data) to support customer requests and internal decisions.
- Documentation: Produce concise technical notes, runbooks, and customer-facing documentation that explain solutions, assumptions, and recommended actions.