Sobre esta vaga de Senior Software Engineer, Autonomy - Calibration, Mapping & Localization na Cyngn
Cyngn · Mountain View, CA
About Cyngn
Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn:
We are small and big.
With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity.
We build today and deploy tomorrow.
Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.
We aren’t robots. We just develop them.
We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.
About this role:
As a Staff/Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be responsible for delivering mission-critical improvements and new features to our calibration, localization, and mapping subsystems. You will work on a small, highly focused team developing production-quality software that enables efficient and accurate creation of HD maps at Cyngn deployment-sites and robust localization for Cyngn’s autonomous vehicle fleets. You will collaborate cross-functionally with vehicle infrastructure, hardware, QA, and other autonomy teams (Perception, Decision, Planning, and Control) to achieve seamless integration with interfacing submodules, comprehensive testing, and ultimately safe and efficient driving for the next generation of Cyngn’s autonomous vehicles.
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