Data Platform Engineer
Summary
OriginFlow is hiring a Data Platform Engineer in Hong Kong to architect a high-performance embodied intelligence data platform covering data acquisition, storage, processing, annotation, simulation, and training. The role focuses on distributed systems design, multi-tenant workflows, large-scale data flow, and automated quality control for model training at scale.
- A high-performance embodied intelligence data platform covering acquisition, storage, processing, annotation, simulation, training, and algorithm integration.
- You will architect systems that support multi-tenant workflows, large-scale data flow, and automated quality control — enabling reliable model training and evaluation at scale.
- A high-performance embodied intelligence data platform covering acquisition, storage, processing, annotation, simulation, training, and algorithm integration.
- You will architect systems that support multi-tenant workflows, large-scale data flow, and automated quality control — enabling reliable model training and evaluation at scale.
- Strong system-level engineer with hands-on experience in distributed systems, data platforms, or large-scale infrastructure.
- Comfortable designing architectures from first principles, making pragmatic trade-offs, and owning systems end to end in a fast-moving research-driven environment.