Robotics Data Pipeline Engineer

Overview Miraxis is building the rights-cleared data factory for robotics and physical AI. A key differentiator is turning messy, heterogeneous real-world robotics data into training-ready datasets with verifiable quality.
As Robotics Data Pipeline Engineer, you will own the multimodal pipeline layer: ingestion, transformation, validation, QA gates, and delivery packaging. You should be able to talk shop with vendors/partners/clients on best practices (formats, sync, calibration metadata, labeling, eval outputs) and also build the tooling to manipulate and audit datasets directly.
Miraxis was founded by Artem Sokolov, who is also the Founder and CEO of Humanoid AI.
What you’ll do (Responsibilities)
Build and operate multimodal pipelines for robotics/physical AI datasets: ingestion, transformation, validation, and delivery packaging.
Define “training-ready” as enforceable checks: alignment validation, integrity checks, schema enforcement, and reproducibility standard...