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Foursquare Labs, Inc. — Menlo Park
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 a Senior Manufacturing Engineer, you will help bridge the gap between engineering and production, ensuring our hardware is designed for efficient, repeatable manufacturing. You will work closely with design engineers, supply chain, and contract manufacturers to develop production processes, improve manufacturability, and guide new products from prototype builds into production.
This is a hands-on role for an engineer who enjoys solving practical problems and building manufacturing systems that scale. You will support manufacturing across printed circuit board assemblies, electromechanical systems, and complex radar hardware while helping establish the processes, documentation, and workflows that enable reliable production. This is a full-time, onsite position based in Menlo Park, California.
Qualifications
S.
Preferred Qualifications
Experience supporting low- to medium-volume production of complex hardware systems Experience working directly with contract manufacturers and electronics suppliers Familiarity with PCB test strategies, fixture development, and manufacturing validation Experience with root cause analysis, process validation, and continuous i