Serve as the primary escalation point for end users regarding issues within the OS, coordinating across all internal teams to ensure issue resolution is completed promptly;
Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering or related majors;
At least 5+ years of experience in Linux operating system development or in similar fields;
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Projects, Innovation & Capability Building: Contribute to strategic projects, including AI applications in ethics operations (e.g., AI-assisted reporting, evidence analysis), supporting pilots and helping transition proven solutions to BU teams for global rollout; help build shared enablement resources (wiki, templates, case libraries) and support best-practice sharing between CN and ex-CN teams.
Bachelor's degree in Business, Risk Management, Compliance, Public Policy, or a related field.
Extensive experience in Ethics & Compliance, Risk Management, Investigations, Legal, or related functions.
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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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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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Ensure the quality of online services under high-concurrency and large-scale workloads by building robust performance optimization, reliability, and observability capabilities across the Agent platform.
Stay at the forefront of Agent technologies and AI-native applications by exploring next-generation Agent paradigms. Drive the productization of platform capabilities to improve developer productivity, while serving as a power user of the Agent platform to continuously refine and enhance its core capabilities through real-world feedback.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
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For inference track, develop the Volcano Ark MaaS (Model-as-a-Service) inference platform, optimizing the performance, cost efficiency, and reliability of large language model inference across hyperscale heterogeneous GPU clusters.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
Proficient in one or more programming languages such as Python, Rust, or C++, with strong coding practices, clean software design principles, and the ability to architect reusable frameworks and abstractions.
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For inference track, develop the Volcano Ark MaaS (Model-as-a-Service) inference platform, optimizing the performance, cost efficiency, and reliability of large language model inference across hyperscale heterogeneous GPU clusters.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
Proficient in one or more programming languages such as Python, Rust, or C++, with strong coding practices, clean software design principles, and the ability to architect reusable frameworks and abstractions.
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Ensure the quality of online services under high-concurrency and large-scale workloads by building robust performance optimization, reliability, and observability capabilities across the Agent platform.
Stay at the forefront of Agent technologies and AI-native applications by exploring next-generation Agent paradigms. Drive the productization of platform capabilities to improve developer productivity, while serving as a power user of the Agent platform to continuously refine and enhance its core capabilities through real-world feedback.
Individuals who are completing or have recently completed a Bachelor's/ Master's degree in computing or a related discipline.
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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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