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.
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
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
About Us
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
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.
- 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
Skills Required
- M.S. or Ph.D. in Electrical Engineering, Photonics, Applied Physics, Applied Mathematics, Computer Science, Data Science, or a related field
- 3 or more years of experience applying data analytics or machine learning; Ph.D. may count toward experience
- Strong Python skills
- Data analysis and data visualization skills
- Experience applying machine learning algorithms to large datasets and evaluating algorithm efficacy
- Strong SQL skills with large datasets
- Solid statistics background, including regression, hypothesis testing, Design of Experiments, and Statistical Process Control
- Familiarity with communications systems concepts
- Ability to present data, make proposals to technical audiences, and work cross-functionally
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
