Careers
Build the home that thinks
We are a small team of engineers building home intelligence — on-device AI, connected hardware and the platform that runs them. These are the people we need next.
Own the models at the heart of the platform: routine learning, occupancy prediction and decision confidence — running on-device, not in the cloud.
What you'll do
- Design and train prediction models for household routines and energy use
- Optimise inference for edge hardware (quantisation, distillation)
- Define the confidence framework that decides when the home acts autonomously
- Work with firmware and backend teams on the end-to-end data path
What we're looking for
- 4+ years building and shipping ML systems in production
- Strong Python and PyTorch; experience with on-device / edge inference
- Comfort working close to constrained hardware
- Bias for measurable outcomes over model novelty
Build the firmware for the X42 hub and sensor line — the code that has to run for years without being noticed.
What you'll do
- Develop firmware for ESP32-class hardware (C/C++, Zephyr or FreeRTOS)
- Implement Zigbee, BLE and Wi-Fi provisioning and communication
- Build the OTA update pipeline with safe rollback
- Drive power optimisation for battery-operated sensors
What we're looking for
- 3+ years of embedded development on shipped products
- Deep C/C++ and RTOS experience; comfort with lab equipment
- Experience with wireless stacks (Zigbee, BLE, 802.11)
- Care for reliability: watchdogs, brownouts, recovery paths
Build the on-device vision that lets the home understand presence and anomalies without streaming private video to anyone's cloud — including ours.
What you'll do
- Develop person/pet/vehicle detection for camera and doorbell products
- Run models efficiently on embedded NPUs
- Design privacy-preserving pipelines: on-device inference, event-only output
- Build evaluation harnesses for real household conditions
What we're looking for
- Solid CV fundamentals and production model deployment experience
- Experience with TFLite / ONNX Runtime / embedded accelerators
- Strong C++ or Rust for inference paths
- Genuine conviction about privacy-first architecture
Don't see your role?
If you're exceptional at what you do and believe homes should be intelligent, we want to hear from you anyway.
Send an Open Application