Azure Fiber is looking for a committed and reliable
Required Qualifications:
BSc in Electrical Engineering, Physics, Mechanical Engineering, Mathematics or other STEM disciplines.
Proven work experience within product engineering in a manufacturing industry.
Experience in statistical parameters control for manufacturing and product testing.
Hands-on experience with microscopes, including but not limited to Scanning Electron Microscope and Optical Microscope.
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:
Experience in defect analysis using microscope techniques, including but not limited to Energy-dispersive Spectroscopy (SEM/EDS) and Raman Spectroscopy.
Responsibilities
You will document 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.
You will use root cause analysis, as well as data and statistical analyses to identify complex problems or flaws that may affect a feature or product design change.
You will contribute input to a single project implementation schedule to deliver the hardware engineering aspects of a moderately complex feature or product.
You will implement and track product plans with minimal guidance. You will provide recommendations to help develop comprehensive product plans (e.g., describe the user experience, enable customer/partner testing scenarios, allow for design reuse, are verifiable).
You will identify opportunities to affect downstream execution of projects by resolving issues and implementing design tradeoffs within scope (e.g., performance vs. reliability and manufacturing concerns).
You will use data and statistical analyses to make recommendations to optimize existing processes, or create new processes that can be used by own team.
You will identify common project risks (e.g., external supplier or partner delays, incomplete specs, or tool issues) at the outset of a project, and develop plans to address those risks.