Build and maintain robotics data pipelines, curate and version large-scale sensor datasets, configure ML training workflows, optimize cloud costs, and develop tools for perception engineers. Responsibilities include dataset management, experiment reproducibility, automated evaluation, and metrics for dataset health, model performance, and pipeline reliability.

Lead sourcing and recruiting of technical hardware talent by partnering with founders and engineering leaders. Build strong pipelines, use creative sourcing (events, networking, marketing), manage ATS, and deliver a high-quality candidate experience to support rapid scaling.