R&D Engineering, Sr Staff Engineer

Job Description

Supporting the existing functionality of our tools and continually enhancing their versatility, performance, and memory utilization while improving software quality. Applying extensive knowledge of algorithms and data structure design to develop robust and efficient implementations that improve tool performance and customer adoption. Interacting with other Synopsys R&D members and customers to understand their needs and product goals. Contributing to the development of complex software code-based tools in a multi-person product development environment with high dependencies and tight schedules. Exercising judgment in developing methods, techniques, and evaluation criteria to meet project goals. Collaborating with a team of enthusiastic and creative engineers to drive innovation and excellence. The Impact You Will Have: Enhancing the performance and quality of our verification tools, leading to increased customer satisfaction and adoption. Driving continuous improvement in software development processes and practices. Contributing to the development of cutting-edge technologies that power innovations in various industries. Helping Synopsys maintain its leadership position in the market by delivering high-performance solutions. Influencing the direction and success of our hardware verification tools through your expertise and innovation. Fostering a collaborative and innovative work environment that encourages growth and learning. What You'll Need: A Bachelor s degree in Electrical / Electronics / Computer-Science Engineering with a minimum of 8 years of related experience, or a Master s degree with 6 years of relevant experience. In-depth understanding of data structures, algorithms, and their applications. Excellent software development experience with C/C++ on UNIX/Linux platforms. Exposure to Python, TCL, and shell scripting languages is preferable. Exposure to HDL languages like Verilog or System Verilog is desirable, with a willingness to learn their nuances. Demonstrated history of good analytical, debugging, and problem-solving skills. Experience with complex and large software code-based tool development