Robotics Integration Engineer

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Summary

Location

Mountain View (Hybrid)

Salary

$153k-171k/year

Work

Full-time

Experience

2-4 years

Key Benefits
Publicly-Traded Equity
Company 401k
Full Health Coverage
100% Paid Disability
Flexible Vacation
Remote or Hybrid

About this Job

About Cyngn

Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, 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. Key reasons to join Cyngn:

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 means our employees not only work in close-knit teams with mentorship from company leaders—they also get 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 this 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.

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++ (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
  • Monthly meal and tech allowances for remote employees

$153,000 - $171,000 a year

*Please note salary range is for Bay Area residents - we're still accepting remote applicants!

About the Company

Cyngn logo

Cyngn

Public Company
Logistics & WarehousingTransportation & Autonomous VehiclesRobotics Software & AI

Automate your material handling and repetitive workflows with our Autonomous Tuggers and Forklifts. Our self-driving technology, DriveMod, is built on trusted, heavy-duty vehicles from legacy OEMs like Motrec and BYD to ensure that our self-driving industrial vehicles can do the most demanding industrial jobs, are familiar to operate and a breeze to maintain. Studies have shown that our deployments reduce labor costs by 64% and have made teams 33% more productive. That’s like adding an additional team member for every three workers at your facility — instantly. With DriveMod, Your Industrial Vehicles — • Safely navigate sites without the need for special infrastructure. • Leverage multiple, redundant, and intelligent layers of safety. • Execute missions based on a variety of flexible, programmable skills — including "auto-unhitch". • Be switched into manual mode and driven by a human. • Transport goods to any on-site location, indoors and outdoors. • Haul and tow thousands of pounds of heavy goods and cargo. • Execute missions based on a variety of flexible, programmable options. • Collect data and reveal suggestions for optimization. • Be remotely managed and monitored via the FMS or on-vehicle display.

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