Job Description

Overview: We are seeking a skilled Data Center Network Architect to design, implement, and maintain high-performance network infrastructures optimized for AI workloads, ensuring seamless operability across multiple platforms. The role focuses on developing a strategic network topology that supports the evolving needs of AI and high-performance computing, while collaborating with physical design teams to optimize space, power, cooling, and cabling management.

Key Responsibilities:

• Design & Architecture :
• Develop and document high-performance, scalable network solutions tailored for AI workloads, ensuring multi-platform operability across on-premises data centers, cloud environments, and virtualized systems.
• Design a forward-looking network topology strategy that incorporates emerging technologies and trends in AI and high-performance computing.
• Collaborate with physical design and facilities teams to optimize network infrastructure for space, power, cooling, and cabling management.
• Implementation :
• Configure and manage high-performance networking equipment, including switches, routers, and network interconnects optimized for AI and HPC workloads.
• Ensure seamless integration with cloud networking solutions and virtualization platforms.
• Security & Compliance :
• Ensure network architectures meet stringent security standards for AI and HPC environments; implement robust security policies and disaster recovery plans.
• Optimization & Troubleshooting :
• Monitor and optimize network performance for AI workloads; resolve complex network issues; lead disaster recovery efforts.
• Documentation & Training :
• Maintain comprehensive network documentation; mentor and train junior engineers on best practices for AI-centric network design.

Qualifications:

• Bachelor’s degree in IT, Computer Science, Electrical Engineering, or a related field.
• 8+ years of experience in network design and architecture, with a focus on high-performance computing or AI environments.
• Proficient in advanced networking protocols and technologies that support AI and HPC workloads.
• Experience with multi-platform environments, including on-premises data centers, cloud platforms (AWS, Azure, Google Cloud), and virtualization technologies.
• Knowledge of data center design principles, including power, cooling, and cabling management.
• Certifications in networking (e.g. ACE, JCNIE, CCIE) or data center design are preferred.

Key Competencies:

• Strong analytical and problem-solving skills, with the ability to tackle complex network challenges in AI and HPC environments.
• Excellent communication and team collaboration abilities, with experience working with cross-functional teams including facilities, operations, and engineering

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