Descriptions & Requirements
Job Overview
Pattern Analytics is a new field at the intersection of Electronic Design Automation (EDA), Data Science and Machine Learning, applied to Semiconductor Design and Silicon Manufacturing flows.
The role of Pattern Analytics Senior Staff Engineer includes an understanding of the state of the art in EDA, and strong technical creativity in the identification of existing open problems and critical gaps in current industrial solutions.
Technical skills will need to be paired with creative approaches in the development of computational solutions, from prototype to full product implementation. Thus, the successful Pattern Analytics Senior Staff Engineer will work with a multi-disciplinary team to build and test new families of EDA products.
Responsibilities and Duties
- Work with a cross-functional, multi-disciplinary team to identify new methodological approaches to layout analysis and define algorithmic solutions
- Develop software modules and shared libraries throughout a product life cycle, from prototype to customer release
- Implement testing and benchmarking automation for Pattern Analytics tools
- Coordinate the creation of engineering-level technical documentation for the supported products
- Troubleshoot and solve customer problems after deployment
Qualifications
- Ph.D. or MS (with 3-5 years' industry experience) in EE or CS or related fields with strong computational and numerical analysis concentration or specialization.
- Experience in Electronic Design Automation, and/or VLSI Physical Design Verification, and/or Mask Data Generation is a plus.
- Specific skills in semiconductor design and manufacturing:
- Physical design, place and route
- DRC checks, DFM checks, Pattern Matching checks, Printability checks
- Physical design ECOs, layout fixing and automation
- Practical Machine Learning and Data Science (including statistical analysis and modeling)
- Exploratory Data Analysis and Data Cleaning
- Feature Engineering
- Advanced ML (Deep-Learning Architectures, Transformers, etc.) is a plus
- Strong Database Development Skills are required. Specifically:
- Queries Development and Optimization
SQL – filtering, aggregation, sampling - Graph representations, queries/traversal
- Multi-DB Query optimization, indices
- Server-based database implementation (such as PostgreSQL) and/or embedded database (such as SQLite)
- Queries Development and Optimization
- Programming Languages:
- Advanced Python 3, Javascript, SQL are required
- A strong candidate will also have experience with C++ and/or Java
- Asynchronous programming
- Applications/Libraries for Data Visualization and Machine Learning
- Application/Libraries for Computational Geometry and VLSI Layout manipulation
Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.