Senior Device Engineer: 3D NAND Flash Memory

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.

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