Staff Software Engineer, EDA Tools Development

Date posted 06/21/2026

Category EngineeringHire Type EmployeeJob ID 17910Remote Eligible NoDate Posted 06/21/2026

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent years building software that has to actually work, not demo well, actually work, under pressure, across large codebases with complex interdependencies. You know that the difference between a system that scales and one that breaks is usually a decision made three months earlier, and you are the kind of engineer who catches that decision before it ships. You do not need perfect requirements to get started. You ask the right questions, align with stakeholders, and find a way through ambiguity without creating more of it downstream.

Standard cell libraries are the foundation of every chip that ships, and you understand that the tools that build them need to be bulletproof. You have worked close enough to silicon to know what matters: accuracy, runtime, and the ability to handle complexity without falling over. When a characterization run takes six hours instead of two, you dig in and figure out why.

You are already experimenting with AI-assisted coding tools, not because they are trendy, but because you have seen them cut debug time in half when used right. You know when to trust the output and when to rewrite it. At Synopsys, you will work on Primelib and the tools that power library creation for the most advanced process nodes in the world.

What You’ll Be Doing

• Design, develop, and own features in Primelib and related tools for standard cell library generation, characterization, and validation
• Build performance-critical software in C/C++ and automation layers in Python that support library flows used across the industry
• Integrate AI and LLM-based coding tools into your development workflow to accelerate feature delivery, improve code quality, and reduce manual effort
• Develop and optimize algorithms for faster library creation, data processing, and large-scale characterization runs
• Collaborate with R&D, product engineering, validation, and customer support teams to align tool capabilities with real-world design requirements
• Debug complex issues across the stack, from SPICE simulation integration to data pipeline performance bottlenecks
• Mentor engineers on the team, lead technical design reviews, and contribute to architectural decisions that shape the product roadmap

The Impact You Will Have

• You will directly improve the speed and accuracy of standard cell library creation for advanced nodes, enabling faster time-to-market for semiconductor products worldwide
• Your work will reduce characterization runtimes and improve tool scalability, giving design teams more iterations and better results
• You will help define how AI-assisted development is adopted across the R&D organization, setting patterns that other teams will follow
• The algorithms you build will process terabytes of characterization data and make library workflows more efficient at scale
• You will influence product direction by working directly with customers and field teams who depend on these tools every day
• Your mentorship will level up the engineers around you and raise the technical bar for the entire team
• The tools you ship will be used to build chips that power everything from data centers to autonomous vehicles

What You’ll Need

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or a related field with 6+ years of hands-on software development experience
• Strong proficiency in C/C++ for performance-critical systems and Python for automation and scripting
• Solid grounding in data structures, algorithms, and software engineering principles applied to complex, production-grade systems
• Experience working in Linux/Unix environments with command-line tools, build systems, and version control
• Hands-on experience with standard cell library development, characterization flows, or related EDA tooling is a strong plus
• Familiarity with SPICE simulation, P…