Robotics Integration Engineer

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:

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.

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’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 builds autonomous industrial vehicle solutions that run in real warehouses and outdoor yards—not demos. As a Robotics Integration Engineer (Mid–Junior), you’ll help bring autonomy to life by integrating hardware + sensors + vehicle software into a reliable, production‑ready stack.

This is a hands‑on role working with Linux systems
, real sensors, and real vehicles—partnering closely with senior robotics, autonomy, and platform engineers to ship systems that are stable, debuggable, and performant in industrial environments.

• Integrate and validate sensors such as LiDAR, cameras, IMU/GNSS
  , and other vehicle hardware.
• Own mission‑critical system pieces:
  state management
  , health monitoring, diagnostics, logging, and fleet‑ready tooling.
• Work on vehicle communications including CAN bus (interfaces, message handling, reliability, basic ECU/firmware touchpoints).
• Build and maintain the glue that makes the stack work:
  drivers, bring‑up scripts, config management, calibration workflows
  , and time synchronization basics.
• Troubleshoot complex issues across hardware + software + networking (timing drift, dropped frames, driver issues, flaky connections, bandwidth constraints).
• Profile and optimize performance for real‑time‑ish workloads (high‑bandwidth sensor streams, CPU/memory bottlenecks, startup stability).
• Help create and maintain integration tests and validation workflows (reproducible tests, automated checks, regression catches, log replay).
• Collaborate across perception, localization, controls, and product teams to integrate systems cleanly and ship improvements quickly.
• Write clear documentation for integration procedures, system configuration, and “how to debug this when it breaks.”

• 2–4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware.
• Strong programming ability in:
• C++ (systems/performance‑critical code)
• Python (tooling, automation, integration glue)
• Shell scripting (Linux workflows, debugging, automation)
• Solid experience with Linux (Ubuntu), including building, packaging, and running systems in the field.
• Comfort with sensor + hardware bring‑up (drivers, calibration workflows, time sync concepts, logs, reproducible setup).
• Understanding of networking fundamentals (TCP/UDP, bandwidth/latency tradeoffs, basic multicast, and debugging with common tools).
• Strong debugging instincts: you can form a hypothesis, gather evidence, and drive to root cause across layers.
• Clear communicator with good documentation habits and a low‑ego, team‑first approach.

• Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks.
• Experience with CAN tooling (Socket
  
  CAN, DBC workflows) and/or ECU/firmware update flows.
• Experience with containerized deployments (e.g., Docker) or production deployment patterns on vehicles.
• Familiarity…