Robotics Integration Engineer

Join Cyngn, a company dedicated to building autonomous industrial vehicle solutions. As a Robotics Integration Engineer, you will play a crucial role in integrating hardware, sensors, and vehicle software into a reliable, production-ready stack. This hands-on position involves working with Linux systems, real sensors, and vehicles, and collaborating closely with senior engineers. You will be responsible for integrating and validating sensors, managing mission-critical system pieces, troubleshooting complex issues, optimizing performance, and maintaining integration tests and validation workflows. Strong programming skills, experience with robotics integration, and a team-first approach are essential for this role.

• Integrate hardware, sensors, and vehicle software into a reliable, production-ready stack for autonomous industrial vehicles.
• Own mission-critical system pieces such as state management, health monitoring, diagnostics, logging, and fleet-ready tooling.
• Collaborate across perception, localization, controls, and product teams to integrate systems cleanly and ship improvements quickly.
• Shell scripting (Linux workflows, debugging, automation)
• Strong programming ability in:
• Solid experience with Linux (Ubuntu), including building, packaging, and running systems in the field
• Python (tooling, automation, integration glue)
• 2–4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware
• C++ (systems/performance-critical code)
• Clear communicator with good documentation habits and a low-ego, team-first approach
• 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
• Comfort with sensor + hardware bring-up (drivers, calibration workflows, time sync concepts, logs, reproducible setup)
• Experience with CAN tooling (SocketCAN, DBC workflows) and/or ECU/firmware update flows
• Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks
• 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
• CI/CD experience for robotics stacks (automated builds/tests, hardware-in-the-loop or log replay workflows)