Standard Cell Design Reliability Verification Engineer

About this role

Job Details: Job Description: Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum Qualifications: Candidate must have a Master's degree with 5+ years of relevant industry experience or PhD degree with 1+ years of relevant industry experience in the field of Electronics, Electrical and/or Computer Engineering or related fields with specialization in VLSI and knowledge in: - Extensive experience in all aspects of the IR and EM flows for Standard cells at device level and ASIC designs

- In depth understanding of EM and IR flows methodologies using Synopsys Primelib RV, PrimesimEMIR, PrimesimXA RV, Ansys RHSC and Cadence Voltus tools with associated Process Design Kit collaterals dependency. - Expertise with Reliability verification in lower nm nodes and EM/IR concepts with a proven track record in establishing RV flows, debug problems and drive solutions working with cross functional teams and EDA vendors. - Digital circuit design, including CMOS combinatorial logic and sequential element design and layout

- Strong understanding of device physics, FinFet characteristics and Standard Cell Library design. - Strong Python programming and automation skills. - Excellent understanding of various Standard Cell Library collaterals and PV Timing Analysis

- Good understanding of a) Development of automation for library modeling, validation, quality checking, performance, and reliability verification b) Standard library release build, validation, QA, release, and support c) Technically lead a team of engineers, debug problems, remove execution roadblocks, detailed planning of execution/releases, and work on strategic initiatives for future technologies d) Parasitic extraction and circuit optimization for power/performance/robustness/density. - Excellent collaboration skills across geographically distributed t

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