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Synopsys

Staff R&D Engineer-17367

Synopsys
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onsite staff full-time $138,000 - $207,000 Sunnyvale, California

First indexed 6 Jun 2026

Description

You will join a high-performing R&D team dedicated to advancing StarRC, the market-leading interconnect parasitic extraction tool. The team is composed of domain experts in electromagnetics, algorithm development, and software engineering who work collaboratively to tackle complex technical challenges.

As a Staff R&D Engineer, you will design, develop, and maintain core components of StarRC, the industry gold standard parasitic extraction tool used across leading semiconductor companies. You will build and refine capacitance models that enable accurate extraction for advanced technology nodes, often before the competition catches up.

You will develop next-generation parasitic extraction algorithms focused on runtime reduction, memory efficiency, and capacity improvements for increasingly complex designs. You will write and enhance Python or Tcl scripts to analyze large datasets, identify performance bottlenecks, and apply machine learning techniques to optimize extraction flows.

You will collaborate directly with domain experts in electromagnetics, circuit modeling, and verification to solve tough technical problems that span multiple disciplines. You will debug complex issues in a large C++ codebase, trace problems across modules, and deliver fixes that improve tool stability and accuracy.

The impact you will have is significant. You will keep StarRC at the leading edge of parasitic extraction technology, directly influencing how the world's most advanced chips are designed. You will enable semiconductor companies to adopt new process technologies faster by delivering accurate models and extraction flows ahead of industry timelines.

You will reduce customer runtime and memory usage by double-digit percentages, translating to real cost savings and faster design cycles for chips powering AI, automotive, and mobile devices. You will push the boundaries of what is possible in EDA by integrating machine learning and optimization techniques into production-grade extraction tools.

You will improve the reliability and accuracy of a tool that thousands of engineers depend on daily for tape out-critical work. You will shape the future of electronics by contributing to the software infrastructure that makes next-generation semiconductor design feasible.

To succeed in this role, you will need to have a strong foundation in C++ programming, with experience building and debugging performance-critical software in large codebases. You will also need to have a solid understanding of data structures, algorithms, and software development processes, including version control, testing, and code review.

Experience working in a Linux environment and comfort with scripting languages like Python, Tcl, or Perl for automation and analysis is also required. A background in numerical mathematics, optimization, machine learning, or computational electromagnetics is a strong plus, especially as applied to EDA or physical modeling problems.

You will be a proactive and collaborative team player, detail-oriented with strong problem-solving skills. You will be passionate about learning and applying new technologies. You will be an effective communicator with the ability to convey complex technical concepts clearly.

You will be adaptable and able to thrive in a fast-paced, dynamic environment. You will be committed to delivering high-quality results and meeting deadlines.

In return, you will have the opportunity to work on cutting-edge technology, collaborate with a talented team, and contribute to the development of a leading-edge tool.

You will also have access to a comprehensive range of health, wellness, and financial benefits, including comprehensive medical and healthcare plans, time away programs, family support, ESPP, retirement plans, and competitive salaries.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://careers.synopsys.com/job/sunnyvale/staff-r-and-d-engineer-17367/44408/96055127200