R&D Engineer II

SUMMARY

The R&D Engineer contributes to the development of software for semiconductor analysis. In this role,  you will collaborate with a team of expert professionals to accomplish development objectives.

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.

RESPONSIBILITIES

• Logical thinking and problem-solving ability.
• 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
• Two years experience in C or C++ with broad and deep understanding of the language
• Working knowledge of the Linux operating system
• Strong 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

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
• Logic synthesis or equivalence checking
• GUI development for physical design or analysis tools
• Familiarity with deep learning algorithms development with a big data approach to complex chip design is a plus