Solving the navigation
problems of the future
We’re excited about the future of cars, robotics, and everything that moves.
Our technology is produced by a team of passionate engineers, scientists, and designers who care about solving hard technical problems using smart algorithms, making innovations in our field, and delivering a product that not only outperforms the competition but feels like magic.
Our team members are previous founders of Cornell’s DARPA Urban Challenge Team with decades of experience in autonomous vehicle technology, specifically in the context of precision navigation. Our experience comes from prestigious companies and research institutions including Coherent Navigation (now part of Apple), Rockwell Collins, JPL, MDA, MITRE, Trimble, Qualcomm, Google, Ford, and Uber.
Management Team
Point One’s team comes from a deep background in Robotics, IoT, Autonomous vehicles, and GNSS expertise.
Aaron Nathan
Previous roles
• DARPA Grand Challenge – Cornell (Founder)
• Cornell Autonomous Systems Lab (Staff Researcher)
• Chief Architect – Coherent Navigation (acq. by Apple)
• Co-founder/CTO – adeptCloud (acq. by Hightail/Opentext)
Mike Kurdziel
Previous roles
• DARPA Urban Challenge – Cornell
• Software Engineer (Logic Analyzers) – Agilent Technologies
• Senior Engineer – JDS Uniphase
• Principal Frontend Engineer – AdeptCloud (acq. by Hightail)
• Principal Backend Engineer – Hightail (acq. by OpenText)
Karen Leineweber
Previous roles
• Optical Nano-Structures Research – Columbia University
• GNSS Remote Sensing Research – Cornell University
• Technical Staff – MDA Robotics and Space Operations
Ryan Dougherty
Previous roles
• Systems Engineer – Jet Propulsion Laboratory
• Propulsion Engineer – Space Systems Loral
• Satellite Signal Research – Cornell University
• Sr. Signal Processing Engineer – The MITRE Corporation
We’re hiring
We are always looking to hire talented engineers, innovators, designers and sales people who are excited about our mission to empower the next generation of developers with reliable, easy to use precision location data.