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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and optimizing dry etch processes for InP photonic integrated circuits, with a strong focus on defect reduction, yield improvement, and process capability enhancement. Proficient in leveraging advanced data analytics and statistical methods to drive engineering productivity and maintain product quality in a 24x7 manufacturing environment.
Highest-signal resume keywords
Dry Etch Process DevelopmentStatistical Process Control (SPC)Design of Experiments (DOE)Plasma Etch FundamentalsSemiconductor Process Engineering
About the role
Key responsibilities & impact- Develop, qualify, and sustain dry etch processes for InP photonic integrated circuits and related optical devices.
- Optimize etch rate, critical-dimension control, sidewall profile, selectivity, surface morphology, roughness, uniformity, and device performance.
- Support fabrication of waveguides, SOAs, lasers, modulators, and passive optical components.
- Drive defect reduction, yield improvement, and process capability enhancement using DOE, SPC, statistical analysis, and advanced process control.
- Perform root-cause analysis and corrective actions for process excursions, equipment issues, yield losses, and device performance gaps.
- Analyze processes using first-principles, physics-based approaches.
- Collaborate with lithography, wet etch, thin film, metallization, reliability, and device engineering teams.
- Partner with equipment and materials suppliers on chamber matching, hardware upgrades, process optimization, and cost-of-ownership improvements.
- Document process baselines, engineering evaluations, change controls, and best practices; communicate results to cross-functional teams and management.
- Support technology transfer from development into manufacturing while maintaining process stability and product quality.
- Support 24x7 manufacturing through on-call support, issue escalation, and cross-functional problem-solving.
- Leverage AI, machine learning, and advanced data analytics to improve process efficiency, yield, and engineering productivity.
Requirements
What you’ll need- M.S. or Ph.D. in Electrical Engineering, Materials Science, Physics, Chemistry, Chemical Engineering, Mechanical Engineering, or a related technical field.
- B.S. degree with 5+ years of semiconductor, photonics, or optoelectronic process engineering experience will also be considered.
- Experience in semiconductor or photonic process development, integration, or sustaining engineering.
- Strong understanding of plasma etch fundamentals, chamber hardware, process characterization, and defect reduction methodologies.
- Experience with DOE planning, statistical analysis, SPC, and process capability improvement.
- Ability to work effectively across multidisciplinary engineering and manufacturing organizations.
- Ability to independently drive projects, solve problems, and deliver results.
- Ability to prioritize and respond quickly to manufacturing challenges in a dynamic environment.
- Willingness to support a 24x7 manufacturing operation through on-call support.
- Flexibility in work schedule and willingness to work swing shifts based on business requirements.
Benefits
Comp & perks- Hybrid work arrangement
- Laptop support with ordering
- Opportunities to collaborate with Nokia R&D and manufacturing organizations globally
- On-call support participation and cross-functional problem-solving opportunities
- Collaboration with equipment and material suppliers
- Advanced analytics, automation, and AI-enabled solutions exposure
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Process CharacterizationDefect Reduction MethodologiesRoot-Cause AnalysisPhysics-Based AnalysisProcess Optimization
Soft Skills
Problem-SolvingCross-Functional CollaborationProject ManagementAdaptabilityEffective Communication
Tools & Technologies
Advanced Data AnalyticsMachine LearningProcess Control SystemsChamber HardwareOptical Devices
Industry Keywords
PhotonicsOptoelectronicsSemiconductor EngineeringManufacturing OperationsWaveguide Fabrication