Job Opportunities API

About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles - specifically autonomous 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: Our Vehicles & Hardware team develops the physical systems that power Cyngn’s autonomous products, with a strong focus on real-world deployment, safety certification, and operational robustness.    Cyngn is seeking a Senior /Staff Systems Engineer to lead system definition and architecture for autonomous vehicle and robotics platforms. This role is a senior, hands-on systems position responsible for converting high-level product requirements (L0/L1 user stories and product intent) into detailed, testable engineering specifications, architectures, and verification plans using a structured V-model systems engineering approach.   This is a generalist systems role spanning sensors, compute, power distribution, actuation, and safety-critical behaviors. The ideal candidate has deep experience in industrial robotics or vehicle systems, understands safety certification expectations, and can bridge product intent with disciplined engineering execution.