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Nokia

PIC Product Engineer

Posted 6 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in United States
Senior level
Remote or Hybrid
Hiring Remotely in United States
Senior level
The role involves developing PIC-based telecommunication products, ensuring performance requirements are met, analyzing data, and supporting quality evaluations.
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In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running. The Network Infrastructure group is at the heart of a revolution to connectivity, pushing the boundaries to deliver more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise​

Nokia is searching for an individual to work as a Product Engineer within the Optical Modules Group (OMG) on developing and introducing new Photonic Integrated Circuit (PIC)-based telecommunication products at the systems level. The position is within the Optical Modules Group (OMG) department and is based in Sunnyvale, CA.

NION2026

Responsibilities
  • Ensure that photonic integrated circuit performance requirements are met at the system level
     
  • Interact with design, test, controls, reliability, and manufacturing to define calibration methods and performance screens
     
  • Perform statistical data analysis on large data sets to characterize and improve the product
     
  • Support quality analysis and evaluation of development, proto, and pilot units
     
  • Drive improvements in product quality during the pilot ramp
Qualifications
  • M.S. degree + 5+ years' experience or Ph.D. in Electrical Engineering (electronics, electro-optics), Materials Science, Photonics, or Physics (optics, semiconductors) + 2+ years' experience in photonic integration
     
  • Experience with III-V or related optoelectronic device physics and design. Working knowledge of device fabrication, materials, and epi is desirable.
     
  • Working knowledge of optical and coherent signal test methods
     
  • Aptitude to work with a large body of data, perform statistical analysis, and present data and ideas to a diverse audience
     
  • Team-oriented with the ability to work cross-functionally
     
  • Excellent verbal and written communication skills

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