Nokia is searching for a qualified candidate to work as a Product Engineer focused on the introduction of next-generation coherent optical pluggable modules. Working in a vertically integrated organization, there will be opportunity to help products achieve industry leading performance through engineering optimization end-to-end. The candidate hired to this position will help drive engineering optimization and yield improvements for the 800G pluggable line as it ramps to volume production, while also supporting new product development and introduction. The position provides a rich learning environment that is highly cross-functional with hardware design, test, firmware, reliability, and manufacturing teams. The ideal candidate has a background in optical engineering and coherent communications systems, enjoys data analysis and developing automation solutions, and can ramp up quickly in a multi-disciplinary environment. The position is based in Allentown, Pennsylvania
• Review customer-facing spec proposals for Nokia’s coherent optical modules, identifying yield concerns and proposing resolutions. Understand how these requirements filter back to specs on the key components including the photonic integrated circuit (PIC) and high-speed driver/TIA.
• Perform statistical data analysis on large data sets to characterize and improve product capability
• Identify opportunities for automation of analyses and general work-flow tasks
• Maintain product engineering infrastructure and ensure spec traceability to the manufacturing line.
• Drive improvements in product performance during prototype phase and identify opportunities to increase product volumes and/or reduce cost in the volume phase.
• M.S. or Ph.D. in Electrical Engineering (electronics, electro-optics, communications), Photonics, or Physics (optics, semiconductors)
• Experience with coherent optical system concepts and measurement methods is desirable.
• Ability to work with a large body of data, write data-manipulation scripts, and perform statistical analysis.
• Comfortable presenting data and making proposals to technical audiences
• Team oriented with ability to work cross-functionally
• Excellent verbal and written communication skills
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 Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
