Senior NAND Array Reliability Engineer

SmartRecruiters, Inc.; Rancho Cordova (CA); On-site; USD 105,000 - 165,000; Full time

Benefits offered by this job

RSU program

Restricted cash unit (RCU)

Cash bonus program

Job summary

Solidigm, headquartered in Rancho Cordova, CA, seeks an experienced NAND Array Reliability R&D Engineer to advance reliability characterization and modeling for next‑gen 3D NAND technologies. You will lead experiments, develop predictive models, and contribute to reliability strategies across teams.

Ideal candidates hold a Master’s or PhD in a related field, with strong programming skills (C/C++, Python) and solid knowledge of semiconductor physics and device reliability.

Qualifications

• Master's or PhD in Electrical Engineering, Physics, Materials Science, Microelectronics or related field.
• Strong understanding of NAND cell and array operations and reliability mechanisms.
• Knowledge of semiconductor device physics, solid-state physics and reliability physics.
• Familiarity with semiconductor process flows and statistical analysis techniques.
• Proficiency in programming languages C/C++ and Python; good communication skills.

Responsibilities

• Design and perform NAND memory cell/array reliability characterization experiments and data analysis.
• Develop empirical and physics-based predictive reliability models and tools.
• Create new acceleration techniques, test flows, methods, and analytical tools.
• Conduct model- and data-driven trade-off analyses to optimize reliability strategies with stakeholders.
• Set array reliability requirements and align wafer-level reliability goals.
• Leverage characterization to inform system-level SSD algorithms and policies.

Skills

C/C++

Python

Statistics

Problem solving

Cross-functional teamwork

Education

M.S. Electrical Engineering

PhD Physics

Job description

Solidigm, headquartered in Rancho Cordova, CA, seeks an experienced NAND Array Reliability R&D Engineer to advance reliability characterization and modeling for next‑gen 3D NAND technologies. You will lead experiments, develop predictive models, and contribute to reliability strategies across teams.

Ideal candidates hold a Master’s or PhD in a related field, with strong programming skills (C/C++, Python) and solid knowledge of semiconductor physics and device reliability.