Photonic Product Engineer for Analytics and ML

In-Office or Remote Hiring Remotely in United States Mid level In-Office or Remote Hiring Remotely in United States Mid level Develops data visualization, analytics, machine learning, and automation solutions for coherent optical product manufacturing. Mines wafer-to-module datasets to identify yield drivers, failure signatures, anomalies, correlations, and process drift. Builds and evaluates ML algorithms for yield prediction and root-cause analysis, performs statistical analysis, and automates engineering workflows using GenAI. Collaborates with R&D, manufacturing, and AI/ML teams to optimize product performance and communicate findings to technical audiences. The summary above was generated by AI

Nokia is searching for a qualified candidate to work as a Product Engineer focused on data engineering, machine learning (ML), automation, and analytics supporting our coherent optical pluggable product lines. The candidate hired to this position will help the wider RnD and Manufacturing teams by applying ML or other analytics to the data we generate to detect line trends sooner and uncover correlations that were previously not seen. Working in a vertically integrated organization, there will be opportunity to help products achieve industry leading performance through engineering optimization end-to-end. The position is based in Allentown, Pennsylvania. Responsibilities *

• Develop, improve, and maintain data visualization platforms to enable faster detection of line trends *

• Mine large manufacturing and test datasets, from wafer through module, to find yield drivers and failure signatures. *

• Deploy ML algorithms and AI agents to improve our ability to uncover correlations in the large data sets generated by the manufacturing line, spanning chip to module, including anomaly detection, yield prediction, root-cause analysis and early detection of line drift. *

• Perform statistical data analysis to characterize and help improve product yields and validate ML algorithm outputs *

• Identify opportunities for automation of analyses and engineering tasks using GenAI and workflow automation, working with other AI/ML partners to help drive best practices within the group, Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

• M.S. or Ph.D. in Electrical Engineering, Photonics, Applied Physics/Mathematics, Computer Science or Data Science, with 3+ years of experience applying data analytics or ML (Ph.D. can count toward the experience). *

• Strong Python skills, data analysis, and data visualization skills *

• Experienced applying machine learning algorithms to large data sets and evaluating algorithm efficacy *

• Familiarity with communications systems concepts is a plus *

• Solid statistics background (regression, hypothesis testing, Design of Experiments, Statistical Process Control). *

• Strong SQL skills on large datasets. *

• Comfortable presenting data, making proposals to technical audiences, and working in a highly cross-functional environment.
• ractices within the group, All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.

The length of the recruitment process may vary depending on the specific role’s requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. About the Team Some of our benefits in US:

• Corporate Retirement Savings Plan
• Health and dental benefits
• Short-term disability, and long-term disability
• Life insurance, and AD&D - Company paid 2x base pay
• Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
• Paid time off for holidays and Vacation
• Employee Stock Purchase Plan
• Tuition Assistance Plan
• Adoption assistance
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