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Build AI

Public-benefit data hyperscaler for physical AI

Software Engineer - Generalist

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Strong full-stack skills and fluency in Python and at least one of TypeScript, React, Go, or C++.
  • 1–5+ years of experience shipping software end to end, ideally in a 0-to-1 or startup environment.
  • Ability to ramp quickly in unfamiliar codebases and problem domains.
  • Bias toward action and comfort with incomplete information.
  • Experience shipping in a role that was not clearly defined.

Responsibilities

  • Detect the highest-leverage gap each week across ingestion, APIs, orchestration, field tools, and hardware integration, and ship production-quality code.
  • Build backend services and APIs for the data platform and customer-facing product.
  • Write processing and validation pipelines for incoming real-world datasets.
  • Script integrations between collection devices, cloud infrastructure, and software services.
  • Design interfaces and developer workflows used across the company.
  • Work cross-functionally with research, Shenzhen hardware, and operations without waiting for a specification.

Desired Qualifications

  • Experience across backend, frontend, data, infrastructure, and scripting.
  • Hardware-adjacent, AI, or large-scale data systems experience.
  • Prior startup experience during hypergrowth.
  • Infrastructure or DevOps experience, including Linux, containers, and cloud.

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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