Robotics Integration Engineer

Cyngn; Mountain View (CA); On-site; USD 80,000 - 110,000; Full time

Job summary

Cyngn in Mountain View is seeking a Robotics Integration Engineer (Mid–Junior) to integrate hardware and sensors into autonomous industrial vehicle solutions. You will work closely with senior engineers and be responsible for ensuring system stability, performance, and real-world viability.

Ideal candidates will have strong skills in Linux, C++, and robotics integration. This hands-on role requires teamwork and excellent communication for effective documentation and debugging.

Qualifications

• 2–4+ years in robotics integration, autonomy, or adjacent experience working close to hardware.
• Familiarity with profiling tools and performance tuning.
• Clear communicator with good documentation habits.

Responsibilities

• Integrate hardware, sensors, and vehicle software into a reliable stack.
• Work hands-on with Linux systems and real sensors.
• Collaborate across teams to ship improvements quickly.

Skills

Shell scripting

C++

Python

Linux (Ubuntu)

Networking fundamentals

Tools

Docker

CAN tooling

ROS 2

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)