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CyngnCyngnMountain View, CA

Robotics Integration Engineer

Integrate sensors, CAN bus, and vehicle software into production-ready autonomous industrial vehicle systems. Requires 2-4+ years robotics/embedded experience with strong C++, Python, and Linux skills.

153k – 171k/yr
On-site2+ YOEEmbedded Engineering

About the role

Responsibilities

  • 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."

Requirements

  • 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), and 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.

Nice-to-Haves

  • 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.
  • CI/CD experience for robotics stacks (automated builds/tests, hardware-in-the-loop or log replay workflows).

Compensation & Benefits

  • Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
  • Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
  • Company 401(k)
  • Commuter Benefits
  • Flexible vacation policy
  • Remote or hybrid work opportunities
  • Sabbatical leave opportunity after 5 years with the company
  • Paid Parental Leave
  • Daily lunches for in-office employees
  • Monthly meal and tech allowances for remote employees

Skills

C++PythonShell ScriptingLinuxLidarRos 2Can BusDockerAws GreengrassGazebo
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