Senior / Staff Engineer, Advanced Modeling (PI)

You will be responsible for developing predictive structure modeling simulations across multiple DRAM and NAND nodes. You will collaborate extensively with product design and process/integration teams for 3D structure model development, deployment, and providing solutions to be implemented on Silicon wafer.

You will interact with process integration engineers and development teams to identify questions and issues hindering the node development milestones. Additionally, you will create programs, algorithms, and computational modeling solutions to extract concrete insights from modeling and data. You will interpret and convey these insights and findings from models and experiments to engineering teams and leaders.

You are expected to work in a dynamic and fast-paced team environment developing and deploying models, communicating results to the team members, and collaborating with them on next steps.

• Master's or PhD degree in Applied Mechanics, Materials Science, Mechanical Engineering, or any related fields of engineering and physics.
• Possess 5+ years of strong Semiconductor process integration experience, driving structure specs, yield pareto issues for a product with hands-on (beginner level) experience in 3D semiconductor structure model building tools like Synopsys, Cadence, Mentor, and Silvaco.
• Understanding of analysis techniques like TEM/SEM/TDS and metrology techniques like Ellipsometry/ WIS/Image based defect analysis.
• Experience with data analysis tools and machine learning frameworks (e.g., Python, MATLAB, TensorFlow).
• Experience with HPC on Linux environment
• Experience with computational geometry and mesh generation techniques is an added advantage.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent written and verbal communication
• Experience with reports and presentations customized for users, managers and leaders
• Outstanding teamwork and experience with remote collaboration tools.