•Role Purpose
–Lead the development and optimization of high-voltage (HV) and BCD device architectures. This role requires a deep understanding of device physics and a data-driven approach to ensure industry-leading performance and reliability for power management solutions.
•Key Responsibilities
–Device Development: Lead the architecture design and optimization of HV devices (LDMOS, EDMOS, ESD) on 180nm to 55nm BCD nodes.
–Physics Analysis: Analyze and optimize Device Physics parameters, including BV, Rdson, SOA, and reliability (HCI/NBTI).
–Simulation & Modeling: Utilize TCAD for 2D/3D process and device simulations to accelerate development cycles.
–Device Verification: Define verification plans and execute statistical analysis using JMP for DOE and WAT data.
–Design Integration: Work within Cadence environments for layout review and test structure design.
–Cross-functional Collaboration: Partner with PI and PE teams to resolve yield, reliability, and manufacturing bottlenecks.
•Required Qualifications
–Experience: Master’s or Ph.D. in EE, Physics, or related field with 10+ years of semiconductor industry experience.
–Technical Expertise:
•Profound knowledge of Device Architecture and Device Physics.
•Hands-on experience in 180nm to 55nm BCD process nodes.
–Tools:
•Expertise in TCAD (Sentaurus / Silvaco).
•Expertise in JMP for statistical data analysis.
•Proficiency in Cadence (Layout/Virtuoso).
•Preferred Qualifications (Plus)
–Advanced Power Devices: Experience with GaN, SiC, or IGBT development.
–Silicon Photonics: Knowledge of Photonics integration and device physics.
–Domain Knowledge:
•Process Integration (PI): Understanding of mask flow and doping profiles.
•Product Engineering (PE): Experience in CP/FT data correlation and yield enhancement.
•Competencies
–Accountability: Strong ownership of project milestones and outcomes.
–Critical Thinking: Ability to identify root causes in complex device failures.
–Interpersonal Skills: Effective communication across design and foundry teams.
–Data-driven: Committed to objective decision-making through rigorous data analysis.
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