Description review
Lumen Labs | Robotics / Hardware Engineer | San Francisco, CA | ONSITE | Full-time | $130k–200k + equity
Lumen Labs · San Francisco, CA · back to the listing
HR standards
64/100
needs work
Title ↔ description
79/100
solid
Reads as
Unclear
no confident match
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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-Robot-Wrangler-Lumen-Labs-3d8e2e6bfecb80b6ba9ede7b09b31a4c?source=copy_link
Email [email protected], 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.
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-Robot-Wrangler-Lumen-Labs-3d8e2e6bfecb80b6ba9ede7b09b31a4c?source=copy_link
Email [email protected], 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.