Pattern Analytics Senior Staff

Job Overview

Pattern Analytics is an exciting novel field at the intersection of Electronic Design Automation, Data Science and Machine Learning, applied to Semiconductor Design and Silicon Manufacturing flows.

The role of Pattern Analytics Senior Staff Engineer is characterized by a deep 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.

Insight and creativity must be combined with technical skills 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 multi-disciplinary team, in a senior role, 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

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:
  1. Physical design, place and route
  2. DRC checks, DFM checks, Pattern Matching checks, Printability checks
  3. Physical design ECOs, layout fixing and automation
• Practical Machine Learning and Data Science (including statistical analysis and modeling)
  1. Exploratory Data Analysis and Data Cleaning
  2. Feature Engineering
  3. Advanced ML (Deep-Learning Architectures, Transformers, etc.) is a plus
• Strong Database Development Skills are required. Specifically:
  1. Queries Development and Optimization
     SQL – filtering, aggregation, sampling
  2. Graph representations, queries/traversal
  3. Multi-DB Query optimization, indices
  4. Server-based database implementation (such as PostgreSQL) and/or embedded database (such as SQLite)
• Programming Languages:
  1. Advanced Python 3, Javascript, SQL are required
  2. C++ and/or Java are a plus
  3. Asynchronous programming
  4. Applications/Libraries for Data Visualization and Machine Learning

Application/Libraries for Computational Geometry and VLSI Layout manipulation