Jobs
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Architect and optimize data centers for large-scale AI/ML deployments, with an understanding of GPU/TPU architecture and system integration to maximize performance and efficiency.
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Identify and implement solutions to accelerate project timelines and reduce infrastructure costs while maintaining high performance standards.
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Evaluate emerging technologies and influence industry trends to ensure our data centers are aligned with the latest ML advancements.
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Partner with internal teams and hardware vendors to troubleshoot performance issues, influence product roadmaps, and integrate innovative AI solutions.
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Bachelor's degree in Electrical Engineering, Power Engineering, a related technical field, or equivalent practical experience.
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10 years of experience in mission critical facility design and construction environments.
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5 years of experience in designing and optimizing data centers, with a focus on machine learning systems.
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Experience with GPU/TPU architectures, AI system integration, and performance techniques.
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Experience with data center infrastructure, including power, networking, storage, and cooling systems.
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Experience with cost and performance modeling for data center infrastructure, and ML hardware.
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Google specializes in internet-related services and products, including search, advertising, and software.
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