Robotics / Hardware Engineer
Lumen Labs · Robotics/AI
unknown
Salary Range (USD)
$130k - $200k
Location
San Francisco, USA
Visa Support
Supported
Funding Stage
pre-seed
Job Responsibilities
- • Own the hardware and infrastructure that keeps research platforms running
- • Maintain the ROS2 (Humble) stack across onboard and offboard compute
- • Integrate and calibrate sensors such as LiDAR, depth cameras, IMU, and encoders
- • Develop and maintain the safety pipeline during autonomous runs
- • Deploy trained policies onto real hardware for wheeled navigation and emerging platforms like drones and pipeline inspection
Required Skills
Hands‑on experience with real mobile robots (UART, encoders, PWM, IMU, LiDAR)Strong Python programmingEmbedded systems developmentAbility to read and debug unfamiliar codebasesDebug hardware and firmware simultaneously
Engineering Culture & Tech Stack
ROS2Pythonembedded CUARTPWMIMULiDARESP32
hands‑on
full‑stack
ownership
Raw Post
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Lumen Labs | Robotics / Hardware Engineer | San Francisco, CA | ONSITE | Full-time | $130k–200k + equity | https://lumenresearch.co
I'm Daniel, co-founder. Lumen Labs is building the cognitive layer for physical AI. Nearly every major robotics effort today teaches machines by showing them thousands of hours of human teleoperation. We think that paradigm has a ceiling, and we're working on nature-inspired architectures for unstructured environments (construction sites, mining, pipelines, battlefield). Pre-seed, backed by top VC funds and operators from robotics/AI companies.
We're a team of two and hiring teammate #3 to own the hardware and infrastructure that keeps our research platforms running: the ROS2 (Humble) stack across onboard and offboard compute, sensor integration and calibration (LiDAR, depth, IMU, encoders), the safety pipeline during autonomous runs, and getting trained policies onto real hardware. Today that's wheeled navigation; we're dipping our toes into drones and eyeing weirder platforms like pipeline inspection. Where we're at: zero-shot sim2real transfer with a policy that runs at 100Hz on an ESP32 and took under a day to train.
You: hands-on with real mobile robots (UART, encoders, PWM, IMU, LiDAR), strong Python + embedded, comfortable reading code you didn't write, and can debug hardware and firmware at the same time. If "full-stack" to you means firmware, a multimeter, and a ROS node in the same afternoon, you'll fit right in. Visa/relocation support for the right person.
Full posting: https://desert-bearskin-26d.notion.site/Robotics-Engineer-Ro...
Email hi@lumenresearch.co, mention HN, and tell us about a project you've built. If you can link to a time you got a trained policy running on real hardware, you go to the top of the pile.
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