Ansys-Apache India Private Limited. (www.apache-da.com)

Apache Design, Inc. - a subsidiary of ANSYS, Inc. - is a leading provider of innovative power analysis and optimization solutions that enable the design of power-efficient, high-performance, noise-immune ICs and electronic systems. Apache's comprehensive suite of integrated products and methodologies advances low-power innovation and provides a competitive advantage for the world's top semiconductor companies to help lower power consumption, increase operating performance, reduce system cost, mitigate design risks, and shorten time-to-market for a broad range of end-markets and applications.

(0-2 Years) BE / B.Tech / ME / M.Tech : R&D Engineers (Physical Layout Modeling) @ Bangalore

Job Position : R&D Engineer (Physical Layout Modeling)

Job Designation : Software Developer

Job Category : IT / Software

Job Location : Bangalore, Karnataka

Compensation : Comparable to best in the Industry

Minimum Requirements/Qualifications :
BE/B.Tech/M.Tech in CSE/EE
• Having Excellent academic background from premium engineering institutes

Desired Experience : 0 to 2 Years

Key Skills : EDA, C, C++, Algorithms, Data Structures

Other Job Requirements :
• 0 to 2 years of C/C++ development in EDA environment.
• Proven proficiency in C++ programming language and data structures
• Sound understanding of algorithm, DS and implementation of large data handling and processing

Non-Negotiable Hiring Criteria :
• ANSYS INSPIRE Values:
• Innovation
• Strive for Excellence
• Passion & Intensity
• Integrity
• Respect & Trust

Position Summary :
• The ANSYS Apache, Bangalore R&D team is looking for a software developer to help design and develop complex in-memory, core C++ data structure and algorithms. As a member of the team, you will be involved in an agile, fast paced team that produces physical layout modeling, design exploration and generates software that supports ANSYS Apache flagship products.

Essential Job Functions/Accountabilities :
• The focus would be to maintain and further develop fast, robust and high quality geometrical/region based algorithms, writing multi-threading C++ code, performance and capacity optimization with applying efficient and high capacity data structures.


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