Collaborate closely with Manufacturing, Engineering, and Facilities to communicate layout changes, resolve constraints, and ensure alignment throughout the planning and execution process.
Develop foundational understanding of fab design, cleanroom protocols, and process areas to support effective layout planning and operational readiness.
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
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Handle complex projects across departments and sites, driving structured onboarding and continuous improvement.
Facilitate a Lean Manufacturing culture from development through ramp and HVM, aiming to streamline workflows and eliminate manual errors. Communicate effectively with executives, sponsors, and cross-functional teams to present insights that enable decision-making.
Deliver clear, qualitative, and quantitative analyses such as P&L, return on investment/payback, and NPV to support financial decisions.
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Define and document functional specifications and collaborate with technical teams (ABAP / integration teams) for development of custom objects, reports, interfaces, and enhancements.
Coordinate and oversee system configuration across relevant SAP modules (e.g., FI/CO, MM, SD, PP, WM/EWM, QM – depending on your expertise).
Plan and execute integration testing, user acceptance testing (UAT), and cutover activities together with business and IT teams.
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Assist to conduct experiments, analyse complex data sets, and derive actionable insights to optimize manufacturing processes and precise controls
Support to analyze production anomalies and maintaining/improving statistical process control (SPC) methods to establish and uphold robust manufacturing processes.
Operate under rotating shifts (day/night), including weekends and holidays, in a 24/7 fab environment.
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Collaborate with the engineering teams to maintain process stability and provide technical solutions to customers
A bachelor’s degree or higher in Electrical and Electronics Engineering, Chemical Engineering, Materials Science, Physics, or a related STEM field
Minimum of 2 years of experience in silicon process flow enhancements and managing process shifts, changes with design rules and product layout, ensuring optimal yield, electrical test and product performance with short-and long-term reliability implications considerations
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Deploy data science models and own the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.
Identify relevant insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
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Deploy data science models and own the end-to-end life cycle, including solution design, development, deployment, model maintenance and monitoring.
Identify relevant insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.
Degree or equivalent experience in Computer Science, Mathematics, Statistics, Data Science or related fields.
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Address process issues working with Fab10N team and with key business partners on tool choices for manufacturing, evaluations etc., as applicable.
Focus on understanding and improving the process margins required for meeting the mature yield goal for 3D NAND parts.
Advanced 3D NAND CMP process development will include performing fundamental research, consumables development, and hardware evaluation, as well as testing processes for novel applications.
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Design, develop, test, and deploy application changes (e.g., bug fixes, enhancements, minor modules) following internal standards and best practices.
Collaborate with cross-functional stakeholders (IT infrastructure, production, engineering, planning, etc.) to ensure solutions are aligned with operational needs.
Develop and maintain technical documentation, including system architecture diagrams, interface specifications, configuration guides, maintenance procedures, and user manuals.
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