R&D Engineer II

SUMMARY

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

Innovation in semiconductor design and manufacturing enables smaller device architectures with higher performance and energy efficiency for powering the smart product revolution. The physics associated with shrinking geometries, especially in the emerging 3-D IC, FinFET and stacked-die architectures, bring out design challenges related to power and reliability, affecting design closure. ANSYS simulation and modeling tools offer the sign-off accuracy and performance needed to ensure power noise integrity and reliability of even the most complex ICs, taking into account electromigration, thermal effects and electrostatic discharge phenomena.

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• 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.

• BS degree in Electrical Engineering, Computer Science or related field, with 1-3 years experience or MS in Electrical Engineering, Computer Science or related field
• 1 year experience in C++ with broad and deep understanding of the language
• Working knowledge of the Linux operating system
• Strong background in data structures, algorithms, and debugging
• Ability to learn quickly, understand complex systems and to work closely with others
• Ability to complete high-quality work on time

• Familiar with basic geometry algorithm
• Multi-physics background, e.g. EM, thermal, stress analysis
• Successful large-scale commercial software development