Robotics Integration Engineer

We need an engineer who can own the seam between the hardware and the software bringing up robot arms and controls, wiring sensors, actuators, and telemetry into a real‑time control plane, and writing the glue that lets the rest of the stack drive and observe the cell. We're open to candidates coming at this from either direction: a robotics integration engineer who has worked across the software stack, or a controls / automation engineer with strong real‑time integration instincts ready to go deeper on robotics.

This is not a front‑end design role - visual polish lives with another hire.

• Bring up and integrate robot arms and the surrounding control system; design and tune motion, tooling, sequencing, and safety logic
• Integrate sensors, actuators, and I/O; build the real‑time control/telemetry layer — stream motion and sensor data, model job/device state as explicit state machines, expose a clean API contract for the application and operator console to consume
• Stand up and maintain a simulation environment that mirrors the physical cell, so work can proceed in parallel with hardware and demos never block on a single robot Integrate vision/perception where the task requires it
• Write the supporting software around the robotics and controls — services, scripts, and APIs — and coordinate with the application team against a shared control‑plane contract

• We expect a strong fit from either a robotics or a controls/automation background:
• Robotics or industrial controls experience - hands‑on bring‑up and integration of robot arms (cobots a plus) and/or automated cells, motion control, PLC/industrial automation, sensor and actuator integration, in a real, physical setting
• Real‑time integration — comfortable with control loops, I/O, and streaming machine state; modeling device/job state and telemetry (Web Sockets/SSE, pub/sub, fieldbus, or equivalent)
• Programming - Python and/or C++ for robotics and integration work; scripting comfort generally
• Enough full‑stack ability to build the software around the hardware — APIs, services, a basic data layer (Node/Type Script and Postgres in our stack, but we care more that you can work across it than that you've used our exact tools)
• Pragmatic, demo‑driven, comfortable owning ambiguity in an early‑stage build

• ROS/ROS2-building and debugging real nodes, topics, and control loops
• Simulation frameworks — Isaac Sim, Gazebo, Mu Jo Co , or similar; experience standing up a sim that meaningfully mirrors real hardware
• AI/ML in robotics - learned policies, imitation/RL, or forward‑looking approaches (e.g. VLA‑style models)
• Vision/perception - object detection, pose estimation, hand‑eye calibration SLAM or other spatial/localization work, especially on mobile platforms
• Functional safety - e‑stop logic, safety‑rated I/O, risk assessment for automated equipment