About the role
AI summarisedAs a senior individual contributor in the System and Technology Product Group (STPG), you will provide technical leadership across the full learning loop of a Test Chip Vehicle (TCV). This involves shaping pre-silicon simulation and regression strategy before tape-out, driving silicon debug after bring-up, and converting data into durable design, model, and methodology improvements for next-generation NAND flash memory products. This role requires independent risk identification, solution definition, and cross-functional technical influence.
IDMOnsiteSTPG
Key Responsibilities
- Own pre-silicon validation strategy for TCV, partnering with Design, Process, and TD to define simulation vs. silicon proving requirements.
- Develop, maintain, and execute robust simulation and regression frameworks (functional, parametric, stress, corner) aligned to TCV objectives.
- Define coverage expectations and exit criteria for pre-silicon regressions, identifying gaps and latent risks early.
- Provide technical ownership for TCV bring-up from first silicon through full characterization readiness.
- Drive deep root cause analysis for silicon anomalies, distinguishing between design, process, model, or test limitations.
- Architect TCV specific test modes, patterns, and flows to maximize learning efficiency and data quality.
- Serve as a go-to technical expert across Design, TD, Process and Test for TCV and early silicon topics.
- Spearhead AI adoption to perform advanced data analytics across large simulation and silicon datasets.
Requirements
- Bachelor’s or post-graduate degree in Electrical/Electronics/Computer Engineering or related field.
- Minimum 5 years of relevant industrial experience.
- Strong fundamentals in CMOS/MOSFET device physics, memory circuits, and semiconductor devices.
- Demonstrated experience owning pre-silicon simulation/regression and post-silicon test/validation for complex designs.
- Strong capability in data analysis and scripting (Python, JMP, or equivalent) applied to large datasets.
- Ability to translate simulation and silicon findings into clear, actionable recommendations.
