Description
About Cyngn
Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.
We are looking for innovative, motivated, and experienced leaders to join us and move this field forward.
Key reasons to join Cyngn:
- We operate with the energy of a startup, but with the liquidity of a publicly-traded company.
- Our autonomous vehicles are deployed to real clients right now, so your work will have a tangible, visible impact.
- We're a welcoming, diverse team of sharp thinkers and kind humans.
About this role:
As a Robotics Integration Engineer, you'll help bring autonomy to life by integrating hardware + sensors + vehicle software into a reliable, production-ready stack.
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.”
Qualifications
- 2–4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware.
- Strong programming ability in: C++, Python, Shell scripting, and Linux.
- 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
- Monthly meal and tech allowances for remote employees
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://jobs.lever.co/cyngn/2ae1976a-8bd5-4f88-aeb1-6a41f1f8660a