Cyngn

Robotics Integration Engineer

Mountain View, CA

Sponsorship not specified$153k-$171kDetected 187 days ago

PythonC++BashAWSDockerCI/CDLinuxSystems EngineeringRoboticsSensorsCommunicationCollaborationMentoring

About the role

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.
Build and maintain the glue that makes the stack work: drivers, bring-up scripts, config management, calibration workflows, and time synchronization basics.
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.
If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.
We build today and deploy tomorrow.
We just develop them.
Collaboration and trust drive our creative environment.

2-4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware.
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).

Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks.
Experience with CAN tooling (SocketCAN, DBC workflows) and/or ECU/firmware update flows.
Experience with containerized deployments (e.g., Docker) or production deployment patterns on vehicles.
Familiarity with profiling tools (perf, top/htop, valgrind, gdb) and performance tuning.
Exposure to OTA / device management systems (e.g., AWS Greengrass) or fleet rollout practices.
Understanding of safety-oriented development practices (fault handling, watchdogs, redundancy concepts).
Experience with simulation environments (e.g., NVIDIA Isaac Sim, Gazebo, or similar) for integration and regression testing.

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.

To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward.
We are small and big.

This listing is sourced directly from Cyngn's careers page and normalized into a canonical job model.