Learn how to manage data center inventory and assets.
Learn industry-recognized processes like change management and disaster recovery plans to manage data center availability risk(s).
Individuals who are completing or have recently completed a Bachelor's/ Master's/ PhD degree in Engineering or Facility Management or a related discipline.
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Learn how to manage data center inventory and assets.
Learn industry-recognized processes like change management and disaster recovery plans to manage data center availability risk(s).
Individuals who are completing or have recently completed a Bachelor's/ Master's/ PhD degree in Engineering or Facility Management or a related discipline.
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Exposure to state-of-the-art IT and datacenter technologies and large-scale various fleets.
Server Operations & Infrastructure Support: Assist in the deployment, monitoring, and maintenance of large-scale server fleets across our global datacenters.
Lifecycle Management: Support the full lifecycle of servers, from system design, deployment, operation, troubleshooting, and decommissioning.
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Learn how to manage data center inventory and assets.
Learn industry-recognized processes like change management and disaster recovery plans to manage data center availability risk(s).
Individuals who are completing or have recently completed a Bachelor's/ Master's/ PhD degree in Engineering or Facility Management or a related discipline.
...
Thrive in a fast-paced environment, engaging in technical operations and on-call rotations to address incidents related to cloud, OS, network, performance, and reliability.
Drive improvements across the entire infrastructure lifecycle, from ideation and design through development, deployment, user support, and continuous refinement.
Currently an Undergraduate in Computer Science, Software Engineering, Information Security, or a related field.
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Individuals who are completing or have recently completed a PhD degree in Electrical Engineering, Thermal Engineering, Energy & Power, Materials, Refrigeration, Environmental Engineering, Mechanical Engineering, or related fields are preferred.
Possess excellent problem analysis and solving skills, an innovative and rigorous mindset, and the ability to independently overcome technical difficulties.
Possess independent research capabilities for theoretical and applied research. Familiar with liquid cooling, thermal management, hydrophilic coatings, renewable energy, and energy storage, keeping track of cutting-edge industry technologies.
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Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.
Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history.
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