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Build AI

Public-benefit data hyperscaler for physical AI

Head of Software

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeShenzhen, Guangdong Province, ChinaIn-person

About the Job

Requirements

  • Have built and led an engineering team, including hiring strong engineers personally.
  • Have built and shipped software that real users depend on and remain hands-on.
  • Be comfortable across frontend, backend, application programming interfaces, and databases.
  • Be fluent in English and able to be based in Shenzhen full time.

Responsibilities

  • Build and lead the Shenzhen software team, set the hiring bar and technical direction, establish the pace, and remain hands-on as the team grows.
  • Own the vendor platform: Android and web applications coordinating operators, partners, and vendors as they source, onboard, and pay contributors and businesses; cover device assignment, attendance, collection tracking, payments, and fraud and loss prevention.
  • Build referral programs to grow the partner network and models to forecast data collection capacity from existing and new partners.
  • Own data infrastructure, including upload, storage, and processing pipelines running at petabytes per month and growing tenfold annually.
  • Orchestrate, train, and fine-tune models for an automated data quality assurance pipeline.
  • Build recruiting tools that accelerate hiring across the company.
  • Address other work blocking company scale.
  • Work directly with the founders and global operations team, owning outcomes end to end from setting priorities through shipping and supporting the work.

Desired Qualifications

  • Android application development.
  • Data pipelines, large file uploads, or machine-learning and quality-assurance systems.
  • Hiring experience in Shenzhen.
  • Ability to start immediately.

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

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