Principal Optical Network System Engineer

What you'll do

• Define and drive networking architectures for AI training and inference platforms across scale-up and scale-out deployments.
• Lead the integration, bring-up, and deployment of network hardware including switches, NICs, PHYs, and high-speed SerDes.
• Develop and execute validation strategies for AI networking infrastructure to ensure reliability and performance at cluster scale.
• Analyze and optimize AI fabric performance by evaluating latency, bandwidth utilization, and congestion behavior.
• Drive the qualification and deployment of next-generation technologies like silicon photonics, CPO, and LPO.
• Lead root-cause analysis for networking issues and develop telemetry, diagnostics, and automation solutions for fleet monitoring.
• Manage the product development lifecycle from early concept and technology selection through manufacturing readiness and production.

What we're looking for

• Master's Degree in Electrical, Computer, or Mechanical Engineering with 7+ years of technical engineering experience, or a Bachelor's with 8+ years.
• Equivalent experience to the degree and years of experience requirements.
• 8+ years of experience with fiber optics, including related tools, devices, processes, design, deployment, operations, or manufacturing.
• 8+ years of experience designing, testing, validating, or troubleshooting optical interconnects, optical components, or end-to-end fiber links.
• Ability to pass the Microsoft Cloud Background Check.
• Experience with data center networking and AI infrastructure, including GPU fabrics, InfiniBand, Ethernet, or UALink ecosystems (preferred).
• Experience with high-speed copper or optical interconnects, CPO, NPO, silicon photonics, or rack-scale fiber management (preferred).
• Experience with Linux environments, automation frameworks, and developing telemetry or validation tooling (preferred).