About this opportunity
Cyngn lists this Robotics Integration Engineer opportunity in mountain view, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Responsibilities
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
You’ll 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.”
Qualifications
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)
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Worksite address
mountain view, CA, 94039, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.