Data Center Network Architect

BayOne Solutions; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

BayOne Solutions is seeking a Data Center Network Architect to design, implement, and maintain high-performance networks optimized for AI workloads across on-prem, cloud, and virtualized environments.

The role focuses on developing a strategic network topology that supports evolving AI/HPC needs and collaborates with physical design teams to optimize space, power, cooling, and cabling management.

Qualifications

• Bachelor's degree in IT, CS, EE, or related field.
• 7+ years of network design and architecture experience in HPC or AI.
• Expertise with on-prem, cloud, and virtualization in multi-platform environments.
• Solid knowledge of data center power, cooling, and cabling design.

Responsibilities

• Develop and document scalable network solutions for AI workloads across on-prem, cloud, and virtualized environments.
• Design forward-looking topology strategies that incorporate AI/HPC trends.
• Collaborate with facilities teams to optimize space, power, and cabling.

Skills

Network design

High-performance computing

AI workloads

Multi-platform environments

Education

Bachelor's degree in IT/CS/EE or related field

Tools

AWS

Azure

Google Cloud

Data center virtualization

Job description

• 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:

• 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, and cabling management.

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.