Staff Firmware Engineer, AI Native, Edge ML

Remote, USA; Remote, Canada · Remote · full time · Lead / Staff / Principal

$143,000 – $261,500

Listed on Life360’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

This role owns the design and implementation of Life360's first on-device machine learning platform for resource-constrained firmware, serving hundreds of thousands of tracking devices. It suits experienced firmware engineers who combine deep embedded systems expertise with hands-on edge ML deployment experience and want to architect infrastructure rather than maintain existing code.

Our summary, not Life360’s wording. The full posting is on their site.

Skills this role names

What they ask for

Required

10+ years firmware engineering shipping consumer hardware at scale
Bachelor's degree in Electrical Engineering, Computer Science, or related field
Deep C/C++ expertise and RTOS internals (Zephyr, FreeRTOS, or equivalent)
Low-level hardware skills: SPI/I2C/UART, DMA, interrupts, driver development
Hands-on debugging with oscilloscope, logic analyzer, JTAG
Demonstrated production deployment of ML models on microcontroller hardware
Experience with embedded inference frameworks (TFLite Micro, CMSIS-NN, ExecuTorch)
Model optimization experience: quantization, pruning
Ability to develop and train models, not only deploy
Signal processing and sensor data pipeline knowledge (IMU and similar)
Daily use of AI coding tools as a genuine development partner
Strong written communication and cross-functional documentation habits

Nice to have

Secure boot, key provisioning, signed OTA, and RF/regulatory certification (FCC/CE)
Hands-on cellular, BLE, GPS/GNSS, or audio subsystems on battery-powered wearables
New-board bring-up and hardware verification
Hardware schematic review and EE partnership
Manufacturing test development and production-line support