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Eric Aguilar

CEO
Omnitron Sensors

Biography

Eric Aguilar is co-founder and CEO of Omnitron Sensors. An award-winning entrepreneur, Eric is a recognized leader in Silicon Valley in the field of innovative sensor systems, particularly in relation to robotics and autonomous platforms.

Eric began his professional career at U.S. Navy Research Labs, where he built sensors that were fundamental to unlocking autonomous flight and other advanced capabilities in drones. He then joined a startup company that licensed Navy IP to build a revolutionary sensor that captured the attention of Google, which later acquired the company for U.S.$85M.

Eric then transitioned to developing autonomous systems. As an avionics lead at Google X Project Wing, his work enabled autonomous flight for the Project’s commercial delivery drones. After moving to Tesla—where he led a team of 300 engineers—he focused on the firmware integration efforts for Model 3, allowing for autopilot and high-volume production. Just prior to Omnitron, Eric led the sensor integration efforts for a fleet of robo-taxis at Argo AI, a self-driving company funded by Ford and VW. He is a former board member of Ascent Robotics.

Eric holds an engineering degree from California State Polytechnic University.

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Company Profile

Omnitron Sensors

Omnitron Sensors is rewriting the script on building high-performance low-cost sensors for the world of tomorrow. Leveraging its executive team’s extensive experience designing, fabricating, and using MEMS sensors, Omnitron has developed a “new topology for MEMS” that addresses some of the most pressing pain points in MEMS manufacturing.

Featuring the clever arrangement of silicon process steps and a new packaging method, Omnitron’s topology significantly improves performance to produce robust, rugged, reliable, repeatable, and low-cost MEMS sensors in high volumes by leveraging commercial MEMS foundries.

The company’s first proof point of its new topology for MEMS is a large, robust, low-cost, MEMS scanning mirror for long-range LiDAR.