NAND Array Reliability R&D 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

• Compensation: USD 105,440 - USD 164,800 - yearly

Company Description

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

Job Description

As a NAND Array Reliability R&D Engineer, you will be responsible for array reliability characterization, modeling, and analysis to ensure holistic solutions for the next generation 3D NAND technologies and products, and meeting all quality and reliability requirements and specs.This position is for Sr. Reliability R&D Engineer depending on the qualifications and experience.

Key Responsibilities:

• Design and perform NAND memory cell / array reliability characterization experiments and data analysis.
• Develop empirical and physics-based predictive reliability modeling methods and tools for reliability risk assessments.
• Develop new acceleration techniques, reliability test flows and methods, and analytical tools.
• Apply model and data driven trade-off analysis to optimize reliability mechanisms and generate array reliability resolution strategy roadmaps in collaboration with all stakeholders.
• Establish array reliability requirements and goals on component level and feedback them forwafer-level reliability goals.
• Leverage array reliability characterization and analysis to develop system-level SSD algorithms and policies.
• Assure successful qualifications of NAND technologies / products.

Qualifications

• Master's degree or PhD in Electrical Engineering, Physics, Material Science, Microelectronics or a related field.
• Good understanding of NAND cell and array operations, array reliability physical mechanisms and characterization.
• Knowledge and good understanding of semiconductor device physics, solid-state physics and reliability physics.
• Knowledge of semiconductor process flows.
• Good statistical analysis skills.
• Knowledge and abilities of programming languages (C, C++, Python).
• Ability to work in a cross-functional team environment.
• Good problem-solving skills.
• Good communication and presentation skills

Additional Information

This 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 $105,440- $164,800. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.