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 B.Tech/M.Tech in Electrical Engineering (EE), Computer Science (CS), or related fields, with a minimum of 5 years of industry experience.

Required Skills

• Expertise in Python programming with a strong focus on:
  • Data structures, including tuples, dictionaries, trees, lists, sets, graphs, heaps etc.
  • Advanced proficiency in libraries such as NumPy, Pandas, Matplotlib, Scipy.
  • Development of new Python APIs or commands, incorporating backend implementations in C/C++.
  • Object-oriented programming in Python.
  • Multithreaded programming and distributed computing using Python.
• Extensive experience in C++ and/or Java.

Preferred Skills:

• Knowledge or experience in:
  • Electronic Design Automation (EDA), VLSI Physical Design Verification, and/or Mask Data Generation.
  • Asynchronous programming.
  • Tools and libraries for data visualization and machine learning.
  • Applications or libraries focused on computational geometry and VLSI layout manipulation.