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AI Data Center DC Block Architect

PowerX, Inc.

Job Summary

■Engineering & Research Division / AI Data Center DC Block Architect ■About the role We are seeking an experienced AI Data Center DC Block Architect to join our team. In this role, you will be responsible for designing, developing, and optimizing modular, pre-engineered DC blocks that are tailored to support our organization's growing AI and machine learning workloads. ■Job Scope 1. AI Workload Analysis and Requirements: - Assess the organization's current and future AI and machine learning requirements, including compute, storage, and networking needs. - Collaborate with data science and IT teams to understand the specific performance, scalability, and reliability requirements of the AI workloads. - Identify any unique hardware or software considerations for the AI DC blocks, such as the need for specialized accelerators or optimized software stacks. 2. DC Block Architecture and Design: - Design modular, pre-engineered DC blocks that can efficiently support a variety of AI and machine learning workloads. - Ensure the DC block architecture is scalable, resilient, and aligned with industry best practices and the organization's overall data center strategy. - Optimize the DC block layout, power, cooling, and infrastructure to maximize performance, energy efficiency, and density. 3. Hardware Selection and Integration: - Evaluate and select the appropriate server hardware, including CPUs, GPUs, and specialized AI accelerators (e.g., NVIDIA Tensor Core GPUs, Google TPUs). - Determine the optimal storage solutions, considering factors like capacity, performance, and data redundancy (e.g., high-performance SSDs, NVMe, network-attached storage). - Integrate the networking infrastructure to support the required bandwidth, low-latency communication, and data transfer requirements of the AI workloads. 4. Software Stack Development and Optimization: - Design and develop the software stack for the AI DC blocks, including the operating system, containerization platform, and orchestration t

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