Staff Firmware Engineer, AI Native, Edge ML

📋 Description

• Own on-device ML platform: design, implement, and ship reusable inference framework for Life360
• Firmware ownership: integrate ML into RTOS firmware (Zephyr/FreeRTOS) with drivers, power, and
• Develop and ship models on device: quantization, operator support, latency/memory tradeoffs within
• Optimize for extreme resource constraints: balance model accuracy, power, and footprint in
• Set direction across firmware, app/cloud, data science, hardware, and ops; raise embedded-ML
• Lead AI-native development practices; mentor teammates and define what AI-native means for embedded

🎯 Requirements

• 10+ years firmware engineering; track record shipping at scale from prototype to mass production.
• Bachelor's degree in Electrical Engineering, Computer Science, or related field.
• Deep C/C++ for embedded systems; fluent in RTOS internals (Zephyr, FreeRTOS, or equivalent).
• Low-level hardware skills: SPI/I2C/UART, DMA, interrupts; strong debugging (scope, logic analyzer
• Experience deploying ML models on microcontroller-class hardware in a shipping product; on-device
• Hands-on with embedded inference frameworks (TFLite Micro, CMSIS-NN, ExecuTorch, or equivalent) and

🎁 Benefits

• Competitive pay and benefits; medical/dental/vision/LTD plans; plans for Canadian employees as
• 401(k)US with company match; RRSP/DPSP for Canadian employees.
• Employee Assistance Program; Flexible PTO and company-wide days off.
• Remote-friendly equipment/tools reimbursement; paid Life360 Platinum membership and Tile products.
• Learning & Development programs; multiple life-cycle benefits and wellness support.