Principal Networking AI Systems Architect

Responsibilities

• Build a shared roadmap and vision for AI based data-center management solutions spanning LLM intelligence for troubleshooting, predictive-resiliency and AIOPS, black-box optimization and performance tuning.
• Work closely with engineering and reliability teams to scope and define workflows utilizing and benefitting from AI/ML.
• Drive the integration of AI capabilities into system architecture and engineering workflows.
• Identify system-level opportunities for failure management, automated troubleshooting, performance improvement, and resource optimization.
• Translate system behavior, dependencies, data, and operational constraints into formulated research problems.
• What we need to see
• Ph.D in electrical engineering, machine-learning, computer-science or another relevant field.
• 10+ years of deep technical experience in high-performance network architecture, data center networking, or distributed systems design.
• Mastery of high-speed interconnect protocols including InfiniBand and/or advanced Ethernet architectures.
• Thorough experience driving high-impact projects centered on modern AI/ML such as LLMs/agents, deep-learning, black-box optimization or another relevant field.

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