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Applied Materials Application Engineer in Reggio Emilia, Italy

General Profile: Applied Materials is looking for a Cell/Device Modeling Engineer (m/f) to complement our team with focus on simulation and cell (NVM cell) characterization of disruptive neuromorphic building blocks based on non-volatile memory IP cores. Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills. Builds knowledge of the company, processes and customers. Solves a range of straightforward problems. Analyzes possible solutions using standard procedures. Receives a moderate level of guidance and direction.

Key Responsibilities

1.Define novel inspection device concepts and configurations. Collects, analyzes data and designs statistically valid experiments. You will be responsible for development of the building blocks of the neural processing unite (NPU) required for the overcoming of the Von-Neumann bottleneck. As a cell engineer you will work on the understanding of the physical mechanism and kinetics responsible for the programming and erasing (potentiation and depression) of the memory cell. Using GinestraTM multi-scale platform you will engineer the stack of the artificial synapse to reach higher symmetry and linearity. You will develop the characterization tests and experiments that will validate the behavior of the engineered cell and will communicate the requirement to the processing partner facility or foundry.

2.Designs and engineers modules. Qualifies modules / sub-modules. Design, perform, collect and analyze data on advanced substrate, technologies and concepts for a range of new products.

3.Develop new or modified inspection and metrology systems. Performs research and analysis in physics or related subjects. Supports physics related application and system issues in the lab and in the field when required.

4.Define system requirements and specifications. Troubleshoot device problems. Collect and analyze data for solving physics related application issues.

5.Plan projects involving definitions and selection of new concepts and approaches in the physics of development of new or improved tool.

6.Participates in vendor selection and project management.

7.Guide less experienced physicists/scientists/engineers.

8.Evaluate new technologies, pursue innovative solutions and evaluate competitors. Conduct tests of new technologies under evaluation. Participate in feasibility studies of new technologies.

Functional Knowledge

•A strong understanding of semiconductor devices and processes, non-volatile memory device architectures and operations

•Experience with non-volatile memories (RRAM, PCM, FRAM, DRAM, Flash) and reliability concepts

•Programming/scripting skills in MATLAB, C, Python, Verilog

•Neuromorphic (brain-inspired) computing is plus

Business Expertise

•Understands key business drivers; uses this understanding to accomplish own work

Leadership

•No supervisory responsibilities but provides informal guidance to new team members

Problem Solving

•Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents

Impact

•Impacts quality of own work and the work of others on the team; works within guidelines and policies

Interpersonal Skills

•Explains complex information to others in straightforward situations

Qualifications

Education:

Bachelor's Degree

Skills

Certifications:

Languages:

Years of Experience:

4 - 7 Years

Work Experience:

Additional Information

Travel:

Yes, 20% of the Time

Relocation Eligible:

No

Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.

Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.

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