Microsoft Senior Cloud AI Optical Network Engineer 

United States, Washington 

847534766

Required Qualifications:

• 7+ years technical experience in network design, development, and automation

  • OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Engineering, Information Technology, or related field AND 4+ years technical experience in network design, development, and automation.

  • OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 3+ years technical experience in network design, development, and automation.

  • OR Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 11+ years technical experience in network design, development, and automation

  • OR Bachelor's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 8+ years technical experience in network design, development, and automation

  • OR Master's Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 6+ years technical experience in network design, development, and automation

  • OR Doctorate Degree in Electrical Engineering, Optical Engineering, Computer Science, Information Technology, or related field AND 3+ years technical experience in network design, development, and automation.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Optical Network Design for AI Networks: Lead the development of cutting-edge designs for optical network components, ensuring they're tailored for AI applications. Create comprehensive Bills of Materials (BoMs) for datacenters and ensure designs meet all vital functional, performance, and compliance benchmarks.
• Optical System & Components Implementation: Transition high-level optical designs into tangible low-level implementations. Collaborate closely with internal teams and external partners to drive the evolution of optical infrastructure within existing and future datacenters.
• Testing & Validation: Spearhead testing initiatives specific to optical systems, subsystems, and components, ensuring optimal compatibility and performance with AI demands. Use advanced testing methodologies to validate optical system’s performance, software, hardware, firmware and configurations, emphasizing accuracy and reliability.
• Operational Oversight of Optical Networks: Vigilantly monitor optical network telemetry, diagnose patterns indicating potential issues, and leverage diagnostic tools to ensure the robustness of optical networks and minimal service disruptions.
• Enhanced Automation & Continuous Improvement: Champion the creation and optimization of automated tools aimed at bolstering the efficiency of optical network operations. Regularly suggest and implement improvements based on real-world observations and insights.
• Incident Management & Resolution: Act as a first responder during optical network incidents, utilizing deep technical knowledge for diagnostics and swift resolution. Engage in thorough post-incident analyses to derive lessons and fortify network resilience.
• Collaboration & Interdisciplinary Synergy: Actively share optical-centric knowledge across teams, ensuring seamless project flow and optimal network implementation. Seek feedback and insights to continually refine the optical infrastructure.

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