R&D Engineer II

SUMMARY

This engineer will join the Research and Development team that creates state of the art software for semiconductor analysis.

RESPONSIBILITIES

· Build a solid understanding of the code and the team’s software development processes.

· Diagnose and fix code problems.

· Deliver code that meets requirements on schedule. Ensure that code is efficient, scalable, maintainable, extensible, robust and easy to understand.

· Optimize code to improve tool run time and memory capacity.

· Create unit, regression and/or system-level tests to thoroughly validate new features or changes.

· Communicate clearly and work closely with manager, technical leads and other engineers to refine solutions and to describe changes that may affect others.

· Learn and follow best practices in software engineering.

· Expand depth and breadth of knowledge in specific electronic design and analysis areas.

MINIMUM QUALIFICATIONS

· BS degree in Electrical Engineering, Computer Science or related field, with three years experience or MS in Electrical Engineering, Computer Science or related field

· Years of experience in C or C++ with broad and deep understanding of the language

· Working knowledge of the Linux operating system

· Background in data structures, algorithms, and debugging

· Solid understanding of electronic design at gate level and/or transistor level

· Ability to learn quickly, understand complex systems and to work closely with others

· Ability to complete high-quality work on time

PREFERRED QUALIFICATIONS

Prefer MS in Electrical Engineering, Computer Science or related field

Demonstrated skills in the following areas are a plus:

· Successful large-scale commercial software development

· Development, debugging and optimization of systems using distributed processing

· Experience with the Python programming language

· Parasitic extraction for advanced semiconductor nodes

· Transistor-level simulation or analysis

· Gate level or RTL power analysis and/or optimization

· IC physical design

· Logic synthesis or equivalence checking

· GUI development for physical design or analysis tools

· Experience in machine learning or deep learning research and development for EDA software

· Familiarity with deep learning algorithms development with a big data approach to complex chip design is a plus