Get more replies from employers
Send a job-specific resume in minutes.
Cyngn, a Mountain View‑based autonomous technology company, seeks a Senior Systems Engineer to lead system definition and architecture for autonomous vehicle and robotics platforms. This senior, hands‑on role converts high-level product intent into engineering specifications, architectures, and verification plans using a structured V‑model approach.
The ideal candidate has deep experience in industrial robotics or vehicle systems, with ANSI B56 safety knowledge and a track record of bridging
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.
We are small and big.
We build today and deploy tomorrow.
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.
Cyngn is seeking a Senior 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.
Define system architectures and interfaces for autonomous vehicle and robotics platforms, including: