Principal Design Verification Quality Engineer

• Own, manage, and evolve the JAMA verification requirements system as the verification standard across project families and pillars. Ensure VE Core Leadership is aligned with updates and improvements through the JAMA notification system.
• Ensure requirements, BKMs, and tools remain current and relevant to internal development needs and industry-standard practices.

AI and Pathfinding: Verification Acceleration and Next-Gen Methodology

• Support AI-driven verification initiatives that measurably improve efficiency and effectiveness—including driving automation of requirement decomposition, task generation, coverage-gap detection, failure clustering, debug acceleration, and workflow orchestration.
• Define success metrics and converge pilot prototypes into robust, supportable verification workflows. Ensure AI tools integrate safely into engineering practices with strong traceability and quality controls.

• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related field.
• 10+ years of experience in design, verification, or product validation engineering, including DRAM verification and hands‑on work with testbenches, stimulus generation, and failure debug.
• Strong expertise in digital and analog design verification concepts and methodologies, with experience developing or applying robust, scalable verification flows.
• Solid VLSI fundamentals, including digital logic, semiconductor concepts, and DRAM architecture and operation, with the ability to analyze circuit behavior and translate learnings into improved verification methods.
• Excellent communication and collaboration skills, with a proven ability to drive ambiguous, cross‑functional technical problems to closure.
• Experience working in a Linux environment and with industry‑standard EDA tools, including Cadence Virtuoso.

• Proven ability to define and drive clear, structured, and scalable verification processes or flows across projects or teams.
• Experience with requirements management, tracking systems, and structured documentation workflows (e.g., JAMA, JIRA).
• Strong analytical skills and attention to detail, with a demonstrated ability to learn and apply new DRAM concepts and verification methodologies.
• Experience mentoring and developing junior engineers through technical leadership and guidance.
• Interest or experience in applying AI‑enabled approaches to improve verification efficiency, quality, or scalability.
• Hands‑on experience developing analog and digital verification testbenches, using industry‑standard tools such as SystemVerilog, UVM, SpectreFx, and PrimeSim.
• Advanced scripting or programming skills (e.g., Python, Perl, Tcl, or similar) applied to verification automation or data analysis.

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