B

Build AI

Public-benefit data hyperscaler for physical AI

Firmware / Software Engineer

Embedded EngineeringConfirmed live in the last 24 hours
Full-timeShenzhen, Guangdong Province, ChinaCN¥300k - CN¥600k /yr

About the Job

Requirements

  • Experience shipping firmware on real hardware using C, C++, Rust, or a similar language, with debugging using an oscilloscope and logs.
  • Experience with embedded architectures and input/output interfaces such as I2C, SPI, UART, USB, or wireless, as well as cameras, storage, and power.
  • Ability to read schematics and work with electrical engineers on board bring-up.

Responsibilities

  • Own firmware end-to-end on collection devices, including boot, camera capture, storage, upload, and recovery in challenging field conditions.
  • Bring up new boards with the PCB team by working with clocks, buses (I2C, SPI, UART, USB), cameras, and power; read schematics, use an oscilloscope, and resolve bugs.
  • Build flashing, factory programming, and test software to support manufacturing devices at volume.
  • Develop diagnostics, logging, and host-side software integrations that allow data infrastructure to ingest device data without requiring a separate solution for each SKU.
  • Optimize device software for reliability and throughput.
  • Work with San Francisco software teams on the device-to-cloud contract.

Desired Qualifications

  • Experience building software beyond firmware, such as factory tools, Python or Go utilities for testing and flashing, or simple device applications.
  • Experience with OTA updates, failure-tolerant uploads, or fleet observability.
  • Experience delivering at least one project from prototype through production.
  • Comfort working in Shenzhen and in factories; Mandarin is useful, and sufficient English to work with San Francisco teams.

About the Company

Build AI

Public-benefit data hyperscaler for physical AI

Build AI runs as a public benefit corporation that acts as a data hyperscaler for physical artificial intelligence, handling hardware, data collection, and model training in one end-to-end pipeline. It collects an egocentric dataset of physical labor by equipping thousands of workers with head-mounted cameras in real-world settings, then provides this data to researchers and corporate robotics teams to train physical AI models. The company differentiates itself by being vertically integrated—owning the hardware, data collection, and training process—and by focusing on large-scale, real-world data rather than relying on third-party sources. Its goal is to accelerate the development of robots that can perform manual tasks in everyday human environments, unlocking human potential.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2025

Recently Posted Jobs

Explore more opportunities at Build AI

See more jobs