Nokia Logo

Nokia

Principal Metrology Engineer – PIC Wafer Fab

Posted Yesterday
Be an Early Applicant
In-Office or Remote
2 Locations
Expert/Leader
In-Office or Remote
2 Locations
Expert/Leader
Develops, qualifies, and maintains semiconductor wafer-fab metrology recipes and equipment performance. Creates sampling plans, analyzes process data, monitors SPC, investigates excursions, supports failure analysis, and troubleshoots process and equipment issues. The role also develops specifications and procedures, trains production personnel, and supports technology development, qualifications, transfers, and production ramps for PIC wafer fabrication.
The summary above was generated by AI

Job Family Description
Direct Production (DP) covers the overall manufacturing operations of Nokia. Contains the direction and monitoring of business' operational processes concerning production, man and machinery performance, and maintenance, as well as related cost controls, quality, and packaging tasks.
 

Responsibilities

Develop, qualify, and maintain metrology recipes for CD-SEM, profilometry, overlay, ellipsometry, and defect inspection tools.

· Own and support metrology equipment performance, qualification, and continuous improvement.

· Develop metrology sampling plans and inline monitoring strategies.

· Analyze process and metrology data to characterize processes and improve process control.

· Monitor SPC charts and investigate process excursions using RCCA methodologies.

· Support wafer-level failure analysis, including FIB, EDX, and coordination of external analyses.

· Troubleshoot process and equipment issues in collaboration with Operations and Engineering teams.

· Create equipment specifications, procedures, and OCAP documentation.

· Train operators and technicians on metrology tools and procedures.

· Support new technology development, process qualifications, technology transfers, and production ramp activities.

Qualifications

Qualifications

· MS in Electrical Engineering, Materials Science, Physics, or a related field.

· 10+ years of semiconductor wafer fabrication experience (7+ preferred).

· Strong problem-solving, data analysis, and communication skills.

· Experience with statistical process control (SPC), failure analysis, and process characterization.

· Hands-on experience with CD-SEM, profilometers, ellipsometers, and defect inspection tools preferred.

· Experience with MES systems is a plus.

· Experience in III-V semiconductor technologies (InP or GaAs) is highly desirable.

· Familiarity with photolithography, etch, deposition, and CVD processes preferred.

Work Schedule

Compressed work week: Monday-Wednesday and every other Thursday, 12-hour day or night shifts.

Similar Jobs

Expert/Leader
Financial Services
Leads AI controls and data governance strategy across client onboarding, documentation operations, and CDAO functions. Oversees AI risk assessments, data quality and lineage controls, model monitoring, advanced analytics, automated testing, remediation, regulatory alignment, and executive advisory activities. Builds global teams and promotes responsible AI practices using Python, GenAI, and LLM automation to strengthen control effectiveness and risk intelligence.
Top Skills: Ai/MlAutomationGenerative AiLarge Language Models (Llms)Python
5 Minutes Ago
Remote
USA
190K-304K Annually
Senior level
190K-304K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead product strategy and roadmap for a new venture from MVP through product-market fit and scale. Own outcome briefs, weekly planning, customer research, prioritization, success metrics, and launches. Partner closely with engineering, design, sales, marketing, support, and operations to simplify workflows, validate customer value, and build scalable onboarding, reliability, self-service, and integrations. Use data and AI tools to guide decisions, prototype, research, and improve product outcomes.
Top Skills: Ai ToolsLlmsSQL
7 Minutes Ago
Remote
US
230K-368K Annually
Entry level
230K-368K Annually
Entry level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead a four-person engineering team building a new product from concept through MVP and beyond. Act as a player/coach by writing code, fixing bugs, triaging customer issues, shaping architecture, and driving rapid weekly sprints with Product. Establish lightweight engineering practices, coordinate cross-team dependencies, incorporate modern tools, and maintain close customer feedback loops while balancing speed, quality, and long-term viability.
Top Skills: AILlms

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account