Sabi Sands Lodges Reservations

Sabi Sands Lodges Reservations

Lead Firmware Engineer

San Francisco · Exec

Sponsorship not specifiedDetected 76 days ago
AlgorithmsMachine LearningEmbedded SystemsSignal ProcessingCollaboration

About the role

  • a sensor-acquisition MCU running the biopotential signal chain and BLE streaming
  • and an always-on MCU enforcing power management, privacy, and thermal control.
  • The firmware is the connective tissue of our wearable - every subsystem either lives inside it or talks to it.

Responsibilities

  • Own the runtime that hosts every subsystem, audio DSP, camera capture pipeline, biopotential acquisition, through specified interfaces with each subsystem lead.
  • Own the media and connectivity MCU pipeline, camera capture, audio runtime, wake-word, Wi-Fi streaming, and onboard logging, concurrently within strict CPU and memory budgets.
  • Drive low-power firmware on the always-on MCU: state machines for standby, assist, and continuous modes
  • Build the multi-MCU time-sync layer that lets us correlate EEG, audio, and camera data downstream.
  • Establish the firmware engineering practices that scale: build and release pipelines, on-device telemetry, automated test, OTA with safe rollback, field debug tooling.
  • Partner with the EE lead on hardware bring-up and boot path
  • with the reliability lead on field telemetry, error handling, and diagnostic surfaces.
  • Ship the product by the end of year, and build and lead the firmware team as we scale to production.
  • Drive low-power firmware on the always-on MCU: state machines for standby, assist, and continuous modes; hardware-enforced privacy; thermal throttling.

Requirements

  • 10+ years of embedded firmware engineering, with 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, with familiarity across at least two ecosystems (e.g., Zephyr, FreeRTOS, ESP-IDF, ThreadX, NuttX).
  • Familiarity with on-device inference frameworks and edge AI runtimes.

Compensation

  • Competitive base salary

Benefits

  • Meaningful equity package
  • Health insurance
  • We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Company info

  • We're a small team solving one of the hardest problems in human-computer interaction: a noninvasive wearable that turns thought into text, no surgery required.
  • By pairing ultra-high-density neural sensing with our Brain Foundation Model, we decode neural signals with a fidelity once reserved for implants.
  • Our mission is to give a billion people a direct link between mind and machine - expanding how humans think, communicate, and create.
  • We are building a next-generation AI companion wearable powered by EEG/BCI technology.
  • Our device reads and responds to neural signals in real time, creating a deeply personal experience that adapts to each user.
  • This is not another productivity tool or a gadget - it is a new category of technology built around human potential.
  • We are backed by strong investors, moving fast, and assembling a world-class team to bring this to market.
  • If you thrive at the frontier of what's possible and want to build something that genuinely changes how people interact with their own minds, we want to talk to you.

Equal opportunity

  • Sabi is an equal opportunity employer.

This listing is sourced directly from Sabi Sands Lodges Reservations's careers page and normalized into a canonical job model.