Photonic Product Engineer for Analytics and ML
Nokia•Allentown, PA
•$139,000 - $200,000•Onsite
About The Position
Nokia is seeking a Product Engineer focused on data engineering, machine learning, automation, and analytics for its coherent optical pluggable product lines. The role supports R&D and Manufacturing teams by applying machine learning and other analytics to manufacturing data to detect production trends sooner and uncover previously unseen correlations. In Nokia’s vertically integrated organization, the engineer will have opportunities to help improve product performance through end-to-end engineering optimization. The position is based in Allentown, Pennsylvania.
Requirements
- M.S. or Ph.D. in Electrical Engineering, Photonics, Applied Physics/Mathematics, Computer Science, or Data Science.
- At least 3 years of experience applying data analytics or machine learning; a Ph.D. may count toward the experience requirement.
- Strong Python, data analysis, and data visualization skills.
- Experience applying machine-learning algorithms to large datasets and evaluating algorithm efficacy.
- Solid statistics background, including regression, hypothesis testing, Design of Experiments, and Statistical Process Control.
- Strong SQL skills on large datasets.
- Ability to present data, make proposals to technical audiences, and work in a highly cross-functional environment.
Nice To Haves
- Familiarity with communications systems concepts.
Responsibilities
- Develop, improve, and maintain data visualization platforms to enable faster detection of production-line trends.
- Mine large manufacturing and test datasets, from wafer through module, to identify yield drivers and failure signatures.
- Deploy machine-learning algorithms and AI agents to uncover correlations across manufacturing data from 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 machine-learning algorithm outputs.
- Identify opportunities to automate analyses and engineering tasks using generative AI and workflow automation, collaborating with AI/ML partners to promote best practices within the group.
Benefits
- Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability and long-term disability
- Company-paid life insurance and AD&D coverage of 2x base pay
- Optional or supplemental life and AD&D insurance for employees, spouses, and children
- Paid time off for holidays and vacation
- Employee Stock Purchase Plan
- Tuition Assistance Plan
- Adoption assistance
- Employee Assistance Program/Work Life Resource Program
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
