Robotics Integration Engineer

About the role

• 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.

What you'll do

• 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

• 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)
• 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.

Bonus Qualifications

• 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).

Benefits & Perks

• 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 and fully-stocked kitchen with snacks and beverages
• Monthly meal and tech allowances for remote employees

$153,000 - $171,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.