About this opportunity
Cyngn, Inc. lists this Robotics Integration Engineer opportunity in mountain view, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Robotics Integration Engineer
Cyngn, Inc. Mountain View, California, United States
About this position
About Cyngn, Inc.
Based in Mountain View, CA, Cyngn is a publicly‑traded autonomous technology company. We deploy self‑driving industrial vehicles—specifically autonomous tuggers—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. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you.
We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This allows our employees to work in close‑knit teams with mentorship from company leaders and access to the liquidity of our publicly‑traded equity.
We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.
We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.
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, and 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, and 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++, Shell scripting, and solid experience with Linux (Ubuntu), including building, packaging, and running systems in the field.
Comfort with sensor and 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: hypothesis formation, evidence gathering, and root‑cause analysis 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).
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).
Flexible vacation policy.
Remote or hybrid work opportunities.
Sabbatical leave opportunity after 5 years with the company.
Daily lunches for in‑office employees and fully‑stocked kitchen with snacks and beverages.
Monthly meal and tech allowances for remote employees.
Compensation: $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.
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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.