Azure Fiber seeks an Optical Network Engineer to design, manage, and evaluate fiber and cable products, collaborating with R&D, Engineering, and Operations teams. The role supports both our Romsey facility and outsourced manufacturing partners. Responsibilities include developing and maintaining product specifications, utilizing databases and software workflows for product control, and applying data science and statistics to analyze product and process data, ensuring high-quality performance. Key duties involve root cause analysis, maintaining optical performance estimators for link budgets, developing and tracking product KPIs, and driving continuous improvement through data-driven optimization of fiber and cable solutions.
At Azure Fiber, we promote a collaborative, innovative environment. Our Romsey facility features advanced equipment, opportunities for professional growth, and a culture that values teamwork, learning, and continuous improvement.
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.
Responsibilities
- Documents the appropriate test requirements and improvements to be included in relevant hardware designs by applying an understanding of how moderately complex features or products work under a variety of customer scenarios.
- Develops and implement data and statistical frameworks using programming language and relational database structures to manage products, identifying complex problems or flaws that may affect a feature or product design change.
- Identifies possible solutions and brings them to the attention of other engineers or team leads, managing product changes through change requests.
- Uses root cause analysis to identify complex problems or flaws that may affect a feature or product design change. Identifies possible solutions and brings them to the attention of other engineers or team leads.
- Contributes input to a single project implementation schedule to deliver the hardware engineering aspects of a moderately complex feature or product. Escalates issues to management as necessary.
- Implements and tracks product plans with minimal guidance. Provides recommendations to help develop comprehensive product plans (e.g., describe the user experience, enable customer/partner testing scenarios, allow for design reuse, are verifiable).
- Identifies opportunities to affect downstream execution of projects by resolving issues and implementing design tradeoffs within scope (e.g., performance vs. reliability and manufacturing concerns).
- Uses data and statistical analyses to make recommendations to optimize existing processes, or creates new processes that can be used by own team. Identifies common project risks (e.g., external supplier or partner delays, incomplete specs, or tool issues) at the outset of a project, and develops plans to address those risks.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND technical engineering experience
- OR Master’s Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field
- OR equivalent experience.
- Experience in programming languages for data science.
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
- Doctorate Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field
- OR equivalent experience.
- Experience in relational database and use of programming languages for data science.
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