# Staff Firmware Engineer, AI Native, Edge ML at Life360

- Company: Life360
- What the company does: Life360 is the leading family location safety app. Stay connected with your loved ones to ensure their safety with Life360. Backed by Bessemer and 500 Global.
- Company website: https://www.life360.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote, USA; Remote, Canada
- Work setup: Remote
- Pay: $143K to $262K base salary per year (USD)
- Posted: 2026-08-03
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/life360/jobs/8675235002
- Page: https://www.1752.vc/careers/jobs/life360-staff-firmware-engineer-ai-native-edge-ml/

## About the role

We're looking for a Staff Firmware Engineer to build and own Life360's on-device ML platform — the reusable framework that lets any device in our portfolio sample sensor data, run inference on the edge, and act on it without draining the battery or blowing the memory budget.

## What they're looking for

- Own it end to end: you architect it, implement it, and debug it when it misbehaves on a device in the field
- Debug on real hardware (oscilloscope, logic analyzer, JTAG) and drive cross-layer issues to root cause across the firmware/hardware boundary
- Carry regular firmware work when ML demand is light — a full share of features, bug fixes, field issues, and on-call/triage
- Get models running within firmware constraints — from Data Science or built and trained yourself, increasingly with AI-assisted tooling — handling quantization, operator support, and the latency/memory tradeoffs
- Own the whole loop, from training output to validated on-device behavior. You don't take a model over the wall and hope
- Squeeze inference into tight power, memory, and latency envelopes, and own the tradeoffs between model accuracy, power draw, and footprint — validated in the real world, not just on the bench

Tags: Engineering