<UNKNOWN>
An AI/Embedded Engineer leads a small team to develop full-lifecycle machine learning solutions for resource-constrained hardware within E-Space's LEO satellite system. This role involves defining system architecture, optimizing models for edge deployment, and integrating sensor data streams with backend communications. The candidate will collaborate across hardware, software, and data teams to deliver reliable, low-power real-time ML systems that operate at the edge.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for <UNKNOWN>.
<UNKNOWN> didn’t post a salary, so this is our estimate from similar listings.
30% below the average for this role