Key Responsibilities:

Design, plan, and execute NAND memory cell and array characterization experiments to evaluate performance and reliability.

Develop and optimize trims to improve Read Window Budget (RWB) and Raw Bit Error Rate (RBER), directly impacting product quality.

Apply NAND device physics principles to explain and interpret relationships between experimental data and trim parameters.

Collaborate cross-functionally with Device, Design, Reliability, and Product/Test Engineering teams to design and execute bench experiments.

Interface with wafer fabrication teams to drive Sort and Wafer-Level Reliability (WLR) Design of Experiments (DOEs).Conduct comprehensive data analysis to identify and communicate trade-offs across multiple parameters of interest.

Build predictive models for NAND behavior based on empirically observed data.

Develop and maintain scorecards to track NAND device degradation through various physical mechanisms over time.

Release optimized trims to the production flow on a regular cadence to ensure continuous product improvement.

Drive improvements in back-end test yields through trim optimization and advanced screening techniques.

QualificationsRequired Qualifications:

Master's or PhD in Electrical Engineering, Microelectronics, or a closely related field.3+ years of industry experience in semiconductor memory technologies and products.

Deep understanding of NAND cell and array operations, including array reliability physical mechanisms and characterization techniques.

Strong foundation in semiconductor device physics and process flows.

Proficiency in statistical analysis methodologies and tools.

Hands-on programming experience in C, C++, Python, and/or JMP.Proven ability to thrive in a fast-paced, cross-functional team environment.

Strong analytical and problem-solving skills with attention to detail.

Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.

Preferred Qualifications:

Experience with 3D NAND architecture and advanced memory scaling challenges.

Familiarity with wafer fab processes and Sort/WLR test methodologies.

Track record of releasing trims or process improvements to high-volume manufacturing.

Experience with machine learning or advanced modeling techniques for semiconductor data.

Additional InformationThis position is also eligible to participate in Solidigm's restricted stock unit (RSU), restricted cash unit (RCU), and cash bonus programs. In addition, Solidigm offers a benefits package that includes medical, dental, vision, supplemental life and AD&D insurance; short- and long-term disability; healthcare and dependent care flexible spending accounts, and a company match on eligible 401(k) plan contributions.

The compensation range for this role is $139,520 - $255,000. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.

This is a Hybrid role reporting out of either Rancho Cordova, CA or San Jose, CA. 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