AI Cloud Optical Network Engineer - Optical System

Are you passionate about the intersection of optical networking and artificial intelligence (AI)? Do you want to be at the forefront of designing and implementing the high-speed optical links that connect massive numbers of Graphics Processing Units (GPUs) and Central Processing Units (CPUs)? Are you driven by the idea of creating self-healing networks that enable the next level of human and artificial intelligence? If so, our team may be the perfect fit for you. Join us as a Cloud AI Optical Network Engineer - Optical Systems and help shape the future of AI by designing and implementing cutting-edge optical networking solutions.Embark on a journey where light and intelligence converge. Join our team at the cutting edge of optical networking and artificial intelligence.

As a Cloud AI Optical Network Engineer - Optical Systems, you'll design the radiant pathways that connect powerful GPUs and CPUs, create innovative networking solutions, and pioneer self-healing infrastructures tailored for AI's demands. Seize this opportunity to elevate your career in a groundbreaking technological domain. Delve into the complexities of optical networking, refining its synergy with AI's ever-evolving intricacies. Master the art and science of large-scale network automation, shaping the future of adaptive infrastructures. Enjoy the perfect balance of collaboration and autonomy with our flexible work model, allowing you to work from the comfort of your home and join us in the office or lab when the magic of hands-on teamwork beckons.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications:

• 5+ 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 2+ 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 1+ year(s) technical experience in network design, development, and automation. 

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:

• 8+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies, AND automation experience with coding languages including, but not limited to, Python, C#, JavaScript, or RUST
  • OR Bachelor's Degree in Electrical Engineering, Optical Network Engineering, Computer Science, Information Technology, or a related field AND 5+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies, AND automation experience with coding in languages including, but not limited to, Python, C#, JavaScript, or RUST.
  • OR Master's Degree in Electrical Engineering, Optical Network Engineering, Computer Science, Information Technology, or a related field AND 3+ years of technical experience with a focus on optical transceiver design, validation, and testing utilizing coherent, direct-detection, and WDM technologies, AND automation experience with coding in languages including, but not limited to, Python, C#, JavaScript, or RUST.
  • OR Doctorate Degree in Electrical Engineering, Optical Network Engineering, Computer Science, Information Technology, or a related field AND automation experience with coding in languages including, but not limited to, Python, C#, JavaScript, or RUST.

Cloud Network Engineering IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $127,200 - $208,800 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until April 11th, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#azurecorejobs

• 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.
• Embody our culture and values.