Build AI

Build AI is hiring an ML Engineer, Inference Optimization to make model inference faster, cheaper, and scalable across physical-AI workloads. You’ll optimize kernels, serving, quantization, compilation, and hardware utilization while partnering with research and product.

Own firmware end-to-end for physical-labor data collection devices, from sensor and camera capture through storage, upload, recovery, and production testing. This hands-on role works closely with PCB, mechanical, factory, and data-infrastructure teams in Shenzhen.

Lead the end-to-end data platform that turns in-the-wild physical-labor video captured on devices into training-ready datasets and customer deliveries at petabyte scale. This role combines media infrastructure, unreliable-network upload, storage economics, dataset packaging, and firmware integration.

Build AI is hiring a Software Engineer to create a high-performance data visualization layer for large physical-AI datasets, spanning collection, quality, analysis, evaluation, and live pipeline health. You’ll make complex video, pose, and dataset information fast and intuitive for research and operations teams.

Build AI is seeking a generalist software engineer to create internal products that help field teams scale physical-data collection across factories and job sites. The role combines hands-on product development, operational problem-solving, and close collaboration with teams in the field.

Build AI is seeking a generalist software engineer to rapidly solve high-impact problems across backend services, data pipelines, hardware integrations, internal tools, and customer-facing APIs. This fully in-person role spans engineering, research, and operations in San Francisco or Shenzhen.