Build AI
Open Positions at Build AI
7 open positions
Build AI is hiring a broadly skilled software engineer to build the platforms, data infrastructure, and AI-enabled tools that scale global physical-labor data collection. The role offers end-to-end ownership across frontend, backend, mobile, data, and operational systems while working directly with founders and global operations.
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.