Job Description

Responsibilities

  • Responsible for the architecture design and R&D of the intelligent computing PaaS platform, promoting the precipitation of core platform capabilities and technological innovation.
  • Lead the management of regional computing resources and unified scheduling of multi-clusters to achieve efficient collaboration and resource sharing of cross-border/cross-regional computing resources.
  • Plan and build core modules such as computing scheduling, integrated training-inference, and resource management to support the full lifecycle of large models.
  • Promote the construction of cloud-native, distributed computing, and heterogeneous GPU management capabilities to improve platform scalability and elasticity.
  • Collaborate with security and compliance teams to ensure that the platform meets regulatory requirements in cross-border computing collaboration.
  • Responsible for docking with chip vendors, cloud platforms, and p...

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