Synopsys

You Are:

An innovative and driven software engineer with a solid foundation in C++ and object-oriented programming. You have a passion for solving complex problems and a keen interest in exploring cutting-edge solutions. You thrive in collaborative environments and bring a proactive approach to learning and development.

What You’ll Be Doing:

• Designing, developing, and maintaining StarRC, the EDA industry’s gold standard for parasitic extraction
• Improving capacitance models and accuracy to enable new technologies ahead of the competition
• Developing next-generation parasitic extraction algorithms and flows to improve runtime, memory, and capacity
• Enhancing scripts and methodologies to analyze big data and optimize our products using advanced techniques like machine learning
• Collaborating with domain experts and the local R&D team to address complex technical challenges
• Contributing to the continuous improvement of our software development processes and tools

The Impact You Will Have:

• Advance the capabilities of StarRC, keeping it at the forefront of parasitic extraction technology
• Enable new semiconductor technologies through improved modeling and accuracy
• Enhance the performance and efficiency of our tools, benefiting customers in the semiconductor industry
• Drive innovation by integrating machine learning techniques into our product development
• Support the development of cutting-edge technologies that shape the future of electronics
• Contribute to the success of Synopsys by delivering high-quality, reliable software solutions

What You’ll Need:

• MS/PhD in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field. Typically requires a minimum of 5 years of related experience.
• Solid knowledge in EDA tool and/or CAD flow development. Experience in parasitics extraction or related domain would be a strong plus.
• Expertise in C++ programming and debugging skills, with ability to navigate in large systems with a history of old and new style C++.
• Good knowledge of software development processes and tools, data structures, and algorithms
• Good command of Linux environment and scripting languages like Python and Shell.
• Solid background in semiconductor process, IC design/manufacturing or electrical engineering
• Understanding of numerical mathematics, machine learning, or AI as applied to optimization problems (nice to have)

Who You Are:

• A proactive and collaborative team player
• Detail-oriented with strong problem-solving skills
• Passionate about learning and applying new technologies
• Effective communicator with the ability to convey complex technical concepts clearly
• Adaptable and able to thrive in a fast-paced, dynamic environment

The Team You’ll Be A Part Of:

You will join a high-performing R&D team dedicated to advancing our market-leading interconnect parasitic extraction tool, StarRC. Our team is composed of domain experts and innovative thinkers who work collaboratively to tackle complex technical challenges and drive continuous improvement. We pride ourselves on fostering a supportive and inclusive environment where every team member can contribute to our collective success.

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.