Lead Firmware Engineer

The role

You will architect and own the firmware for a wearable's distributed-compute platform. This includes managing media and connectivity, sensor acquisition, and power management across multiple MCUs.

What you will do

• Architect firmware across the distributed-compute platform
• Own the runtime that hosts every subsystem
• Own the media and connectivity MCU pipeline
• Drive low-power firmware on the always-on MCU
• Build the multi-MCU time-sync layer
• Establish firmware engineering practices
• Partner with the EE lead on hardware bring-up and boot path
• Bring up ASICs in collaboration with the EE and silicon teams
• Ship the product by the end of year
• Build and lead the firmware team as we scale to production

Required qualifications

• 10+ years of embedded firmware engineering
• At least one shipped consumer product where you owned firmware architecture end-to-end
• Deep expertise across embedded RTOSes and bare-metal ARM Cortex-M
• Familiarity across at least two ecosystems (e.g., Zephyr, FreeRTOS, ESP-IDF, ThreadX, NuttX)
• Hands-on experience hosting real-time DSP runtimes alongside wireless connectivity on resource-constrained MCUs
• Strong background in multi-radio coexistence (Wi-Fi + BLE)
• Low-power state-machine design
• OTA with safe rollback
• Comfortable in the lab with JTAG/SWD, logic analyzers, and protocol sniffers

Nice to have

• Deploying neural network inference to low-power MCUs or dedicated AI accelerators
• Familiarity with on-device inference frameworks and edge AI runtimes
• Custom AI accelerator silicon, neuromorphic compute, or in-memory-compute platforms
• On-device wake-word or always-on voice activation engines
• Integrating biopotential acquisition over standard sensor buses

Benefits

• Competitive base salary
• Meaningful equity package
• 401(k) with company matching
• Health insurance
• Flexible PTO

About the company

Sabi is a small team building a noninvasive wearable that turns thought into text using EEG/BCI technology. They are developing a next-generation AI companion wearable.