As part of Nokia’s Silicon Photonics Supply Chain team, you will be responsible for managing and reviewing the wafer level testing that supports high volume production of our next generation Silicon Photonic transceivers. You will review in-line metrology and electrical test data from the Fab and connect it to our silicon photonic wafer acceptance test (WAT) and known-good die test (KGD) data to help drive improvements in yield, and review SPC charts to detect trends. You will oversee a fleet of test equipment and work with engineers and operators at our Fab and OSAT partners to ensure that we are generating the highest quality data, and you will work with our Test Engineering teams to drive improvements to our test throughput.
Responsibilities
- Reviewing and correlating data from multiple sources to drive yield improvements
- Overseeing and optimizing utilization of a fleet of wafer-scale optical test equipment
- Capacity planning for wafer test equipment
- Organizing and convening the material review board
- Planning for and coordinating the implementation of software and hardware upgrades
- Being the technical interface between Nokia R&D and external test Supplier
- Responsible for change implementation at external test supplier.
You have:
- Advanced Degree in Engineering, Physics, Statistics, or related field
- 3-5 years of yield or metrology engineering experience in a leading-edge semiconductor fab
- Strong proficiency in wafer scale yield analysis: experience creating and reviewing Pareto charts, and analyzing wafer maps to look for spatial patterns
- Experience working with defect inspection tools and interpreting their data
- Experience working with change control systems and PLM tools
- Solid interpersonal, communication and problem-solving skills in order to interact with engineering staff, external vendors and contractors effectively.
It will also be good if you have:
- Experience managing a fleet of metrology equipment
- Proficiency in Python, and exposure to numerical and statistical packages
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
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
