The Staff PIC Process Development Engineer will lead the development and optimization of InP photonic integrated circuit fabrication processes for high-volume manufacturing, collaborate with teams, and provide technical leadership.
As a Staff PIC Process Development Engineer, you will be a senior individual contributor within Nokia’s Optical Components organization, responsible for the development, optimization, and transfer of InP photonic integrated circuit (PIC) and laser fabrication processes for high‑volume manufacturing.
This role requires deep technical expertise across epitaxial design, semiconductor processing, data‑driven manufacturing analysis, and close collaboration with remote fabrication partners. You will play a key role in enabling next‑generation optical component technologies that support Nokia’s high‑capacity optical networking platforms.
Process Development & Integration
- Lead the design, development, and optimization of InP PIC and laser fabrication processes for high‑volume manufacturing
- Design and specify epitaxial layer structures in collaboration with device designers and epitaxy suppliers
- Develop complete fabrication process flows based on design requirements, tool capabilities, and manufacturing constraints
- Drive process integration, ensuring compatibility across metal, semiconductor, and dielectric modules
Manufacturing Data & Yield Excellence
- Perform extensive data analysis of photonic device, wafer, and process data in a manufacturing environment
- Apply SPC, process capability analysis (Cp/Cpk), and statistical methods to monitor and improve process performance
- Lead or contribute to FMEA activities, root cause analysis, and corrective actions for yield and reliability issues
- Define and utilize metrology strategies to ensure robust process control
Fab Execution & Cross‑Functional Collaboration
- Shepherd wafers successfully through the fab, coordinating closely with test, development, integration, and fabrication engineers
- Act as a senior technical interface with external or remote fabrication facilities, ensuring alignment on process execution and priorities
- Collaborate with device design, product engineering, and reliability teams to support technology readiness and product ramp
Technical Leadership & Impact
- Provide technical leadership within the PIC process development domain
- Contribute to continuous improvement of tools, methods, and best practices
- Mentor junior engineers and support knowledge transfer across the broader team
- Ph.D. in Electrical Engineering, Physics, or a related field
- Minimum 3 years of industry experience developing and manufacturing InP PIC or laser fabrication processes for high‑volume applications
- Demonstrated expertise in:
- Design of epitaxial layer structures
- Process design and fabrication process development for InP devices or PICs
- Photonic device data query and analysis in a manufacturing environment
- Metal, semiconductor, and dielectric deposition and etching tools, chemistries, and methods
- FMEA, SPC, process capability, and metrology
- Building end‑to‑end fabrication process flows from tool and design specifications
Proven ability to work effectively with remote fabs and cross‑site teams
Preferred Qualifications
- Experience supporting technology transfer to high‑volume manufacturing
- Familiarity with yield ramp, qualification, and reliability testing for photonic devices
- Strong communication skills with the ability to translate complex technical issues across disciplines
- Experience working in foundry or captive fab environments supporting compound semiconductor technologies
Similar Jobs
.png)
Healthtech • Social Impact • Telehealth
Support and scale recruiting for provider partnerships and clinical support teams. Source, screen, and advance candidates; manage interview scheduling and candidate communications; partner with hiring managers; build recruiting systems and templates; grow into full-cycle recruiting and hire and develop other recruiters.
Top Skills:
Applicant Tracking System (Ats)Claude
2 Hours Ago
Easy Apply
Easy Apply
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Partner with sales leaders across the Americas to activate and localize global enablement programs, facilitate bilingual training and workshops, coach sales methodologies, measure adoption and impact, gather field feedback, and drive seller productivity and adoption through data-driven enablement and stakeholder partnership.
Top Skills:
Ai-Enabled ToolsCrm PlatformsKnowledge Management SystemsLearning Technologies
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.
Top Skills:
AICloud ServicesComputer VisionFull-Stack DevelopmentIotMachine LearningSensor FusionSoftware Engineering
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
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
