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.
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• 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