Photonic Product Engineer for Analytics and ML

Photonic Product Engineer for Analytics and ML

United States (Onsite)

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.

Your 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

Your skills and experience Position Requirements 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

More information

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
• Employee Assistance Program/Work Life Resource Program

The above benefits exclude students.

Disclaimer for US/Canada

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.

All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.

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Job Info

Job Category Applied R&D Posting Date 11/03/2026 Degree Level Master’s degree Job Schedule Full time Job Type Experienced Job Identification 41711 Will NSA/CAPS approval be required? No Role Type Individual contributor Salary Range $139,000 - $200,000 Experience level Experienced Locations 7360 Windsor Drive, Allentown, Pennsylvania, 18106-9318, US Onsite Regular or Temporary Regular