This role involves designing deep learning models to optimize semiconductor manufacturing processes by predicting on-wafer performance from recipe parameters
Job Summary
This role involves designing deep learning models to optimize semiconductor manufacturing processes by predicting on-wafer performance from recipe parameters.
The company offers a supportive work culture that encourages continuous learning, professional growth, and the development of innovative solutions for global customers.
Candidates must possess strong critical thinking skills to reason through algorithmic choices and customize solutions for complex constraints rather than applying generic methods.
Matching Summary
This role involves designing deep learning models to optimize semiconductor manufacturing processes by predicting on-wafer performance from recipe parameters.
Salary
Base: $161,000.00 - $221,000.00; Bonus/Equity: Eligible for bonus and stock award program; Benefits: Comprehensive benefits package including health and wellbeing programs
Skills & Requirements
Must-have
Deep Learning Algorithm Development
Bayesian Optimization Strategies
Clean Code Software Engineering Practices
Python Programming Expertise
Neural Network Architecture Design
Sparse Noisy Data Modeling
Nice-to-have
GPU Programming with CUDA
Parallel Computing Experience
Active Learning Frameworks
Legacy Code Refactoring Skills
Semiconductor Domain Knowledge
Publication in ML Conferences
Key Requirements
MS or PhD in Computer Science or related field
Expert-level Python programming skills
Strong foundation in algorithms and data structures
Experience with gradient-based optimization methods