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
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