R&D Engineering Staff Engineer

Job Title

R&D Engineering Staff Engineer

Role Summary

Lead development and operation of analog/mixed-signal simulation platforms used by IP design teams. The role focuses on platform scalability, reliability, usability, and automation to reduce engineering friction for simulation and sign-off flows.

Work on distributed and cloud-based simulation environments, AI-assisted automation, and close collaboration with designers, tool developers, and EDA vendors to deliver production-grade infrastructure.

Experience Level

Senior

Responsibilities

Deliver and maintain simulation infrastructure and automation that enables large-scale analog/mixed-signal development and tapeout.

• Design, build, and improve simulation platforms for scalability, reliability, and usability.
• Create AI-assisted automation for simulation setup, debugging, and workflow optimization.
• Improve distributed and cloud-based simulation environments to increase utilization and reduce time-to-results.
• Enable and maintain production sign-off flows such as Monte Carlo, reliability analysis, and post-layout simulation methodologies.
• Collaborate with IP design teams to translate needs into platform capabilities and remove workflow friction.
• Partner with EDA vendors and internal tool developers to evaluate and integrate new features.
• Provide documentation, training, and hands-on support to engineers using the platform.

Requirements

Must-have technical skills and practical experience required to perform the role.

• Strong background in CAD, design automation, or analog/mixed-signal design and verification.
• Hands-on experience with circuit simulation environments, custom design flows, and testbench automation in production settings.
• Proficiency in scripting languages such as Python, Tcl, or shell for automation and tooling.
• Experience working in Linux-based development and compute environments.
• Ability to diagnose broken simulation flows, interact with designers, and deliver practical solutions.

Nice-to-have:

• Familiarity with Synopsys EDA tool suite.
• Experience with AI/LLMs, agent-based systems, or machine learning applied to engineering workflows.
• Experience with distributed computing, cloud-based workloads, or large-scale engineering infrastructure.

Education Requirements

Bachelor's degree with 7–8+ years of relevant experience, Master's degree with 5–6+ years, or PhD with 3–4+ years in Electrical Engineering, Computer Engineering, Computer Science, or a related field; equivalent practical experience also accepted.

About the Company

Company: Synopsys

Headquarters: Mountain View, California, USA

Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.