Data Platform Engineer

OriginFlow

Hong Kong

On-site

HKD 900,000 - 1,100,000

Full time

11 days ago
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Job summary

OriginFlow seeks a strong system-level engineer to join a fast-moving, research-driven environment. OriginFlow builds 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.

Qualifications

  • Strong system-level engineer with hands-on experience in distributed systems, data platforms, or large-scale infrastructure.
  • Ability to design architectures from first principles, make pragmatic trade-offs, and own systems end to end.

Responsibilities

  • Architect systems that support multi-tenant workflows, large-scale data flow, and automated quality control.
  • Enable reliable model training and evaluation at scale.

Skills

Distributed systems
Data platforms
Large-scale infrastructure

Job description

  • 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.
The Missions
  • 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.
The DNA
  • 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.
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