Description
As a member of a highly proficient, productive and motivated R&D team, using cutting edge software development techniques while developing industry’s leading circuit simulator Analog FastSPICE™ (AFS), you will be offered:
Technical challenges to solve toughest nanometer scale circuit verification problems for the leading semiconductor companies in the world.
A motivating, stimulating and rewarding work environment
Excellent training and growth opportunities throughout your career
Attractive compensation and benefits
Analog FastSPICE™ (AFS) is world’s fastest nanometer accurate circuit verification platform used by over 200 semiconductor companies worldwide for their toughest circuit verification challenges while designing high-speed I/Os, PLLs, ADCs/DACs, CMOS image sensors, RFICs, and embedded memory.
As a key member of AFS R&D team you will participate in developing efficient algorithms and implementing them using state of the art software engineering processes and development tools, with a strong emphasis on software quality; thus gaining industry level experience in solving tough computational complexity problems while participating in entire software development lifecycle.
Responsibilities:
Work closely with other analog circuit simulator developers, architects and product engineers to enhance core circuit simulator accuracy, performance, capacity, and feature set
Maintain and enhance compatibility with other simulators
Profile and identify bottlenecks in performance of various analyses for very large circuits
Debug difficult test-cases with accuracy, performance, capacity, or functional issues
Requirements:
Outstanding academic record
Solid background in object-oriented design and software engineering processes (C++/Linux)
Proficiency in memory optimization, high-performance data structures and algorithms
Working knowledge of multithreading programming
Excellent oral and written communication skills
Excellent problem-solving skills
Bachelors or Masters degree in Electrical Engineering, Computer Science, Applied Mathematics or relevant area
Desirable:
1-2 years of industry experience in developing software for engineering applications; preferably using numerical methods and sparse matrix techniques
Coursework in one or more of:
Numerical Analysis
Electronic Design Automation topics
Machine Learning
Analog Circuit Analysis
Computer Architecture
Compiler Design
Experience using Matlab
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