Senior Device Engineer: 3D NAND Flash Memory

Sandisk; Milpitas (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Sandisk is seeking a PhD-level memory researcher to develop and optimize advanced 3D NAND flash memory technologies. You will analyze memory-cell behavior, perform experiments, and model device performance to improve efficiency, reliability, and cost.

Collaboration spans process, circuit, product, and system engineering. Applicants should excel in data analysis, programming (Python/C++), and communication, with a track record in semiconductor memory or related fields.

Qualifications

• Ph.D. in Electrical Engineering, Applied Physics, Materials Science, or related field.
• Strong foundation in semiconductor device physics and applying concepts to real-world problems.
• Strong analytical and problem-solving skills with systematic, creative approach.
• Experience in experimental data analysis, modeling, or characterization.
• Clear written and oral communication of complex topics.
• Collaborative in multidisciplinary engineering environments.
• Familiarity with Python, JMP, Spotfire, C/C++, or similar software.
• Experience with semiconductor memory devices or modeling is a plus; NAND experience not required.
• Machine learning / advanced data-analysis experience is a plus.

Responsibilities

• Develop, characterize, and optimize advanced 3D NAND memory devices and arrays.
• Investigate memory-cell behavior and mechanisms affecting performance, reliability, endurance, and data retention.
• Design and analyze experiments to understand device behavior and guide engineering decisions.
• Develop and optimize memory operating methods, algorithms, and parameters.
• Use data-analysis techniques to extract insights from large experimental datasets.
• Create innovative solutions to challenging technical problems and influence future memory technologies.
• Collaborate with engineers across process, circuit design, device, product, test, qualification, and system engineering; communicate findings clearly.

Skills

Device physics

Data analysis

Programming

Collaboration

Problem-solving

Education

Ph.D. in Electrical Engineering / Physics / Materials

Tools

Python

C/C++

JMP

Spotfire

Job description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Description

Join our team to develop and optimize advanced 3D NAND flash memory technology. In this role, you will apply your knowledge of semiconductor device physics to understand memory-cell and array behavior and solve challenging problems that directly affect performance, reliability, energy efficiency, and cost.

You will combine physical understanding with experimental characterization and data analysis to investigate and model device behavior, identify opportunities for improvement, and translate insights into practical solutions. Your work will span from fundamental device phenomena to their impact on memory operation and product performance. You will collaborate with experts across device, process, circuit design, product, test, qualification, and system engineering, providing broad exposure to the development of leading-edge memory technology.

Essential Duties And Responsibilities

• Develop, characterize, and optimize advanced 3D NAND flash memory devices and arrays.
• Investigate memory-cell behavior and physical mechanisms affecting performance, reliability, endurance, data retention, power, and other key device characteristics.
• Design and analyze experiments to understand device behavior, identify root causes, and guide engineering decisions.
• Develop and optimize memory operating methods, algorithms, and parameters to improve device and product performance.
• Use statistical analysis, scripting, visualization, and other data-analysis techniques to extract insights from large experimental datasets.
• Develop innovative solutions to challenging technical problems and contribute to future memory technologies.
• Collaborate closely with engineers across process, circuit design, device, product, test, qualification, and system engineering and communicate technical findings clearly to multidisciplinary teams.

Qualifications

Required:

• Ph.D. in Electrical Engineering, Applied Physics, Materials Science, or a related field.
• Strong foundation in semiconductor device physics and an interest in applying fundamental concepts to solving real-world engineering problems.
• Strong analytical and problem-solving skills, with demonstrated ability to approach complex technical problems systematically and creatively.
• Academic or industry experience in experimental data analysis, modeling, or characterization.
• Ability to communicate complex technical topics clearly in both written and oral form.
• Ability and eagerness to collaborate in a multidisciplinary engineering environment.
• Familiarity with data analysis, visualization, and programming using Python, JMP, TIBCO Spotfire, C/C++, or similar software and languages.
• Experience with semiconductor memory devices, device reliability, characterization, or modeling is a plus, but prior NAND experience is not required.
• Experience applying machine learning, AI, or advanced data-analysis techniques to scientific or engineering problems is a plus.

Additional Information

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [e-mail] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.