Job Description and Requirements Job Description and Requirements We are looking for an enthusiastic and motivated R&D Staff Engineer to join our Simulation Platforms team. In this role, you will help build, enhance, and scale the analog/mixed-signal simulation infrastructure used by thousands of IP designers worldwide. If you enjoy solving complex engineering challenges, improving design productivity, and applying AI-driven solutions to real-world workflows, this is an exciting opportunity to make a broad impact across global engineering teams.
Coverage Overview Develop and enhance simulation platforms that improve engineering productivity, scalability, and design quality. Design and implement AI-assisted and intelligent automation solutions for simulation setup, debugging, analysis, and workflow optimization. Improve distributed, cloud-based, and high-performance simulation environments to increase efficiency and resource utilization. Enable reliable production sign-off flows, including Monte Carlo, reliability, and post-layout simulation methodologies.
Collaborate with design teams to understand challenges and translate requirements into scalable platform capabilities. Partner with EDA vendors and internal development teams to drive new features, enhancements, and technology adoption. Support engineers through training, documentation, consultation, and best-practice guidance. Contribute to platform strategy, roadmap planning, and adoption across global engineering organizations.
Required Qualifications Bachelor's degree with 7–8+ years of 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. Strong background in CAD, design automation, simulation infrastructure, or analog/mixed-signal design and verification. Hands-on experience with circuit simulation environments, custom design flows, and testbench automation.
Proficiency in Python, Tcl, Shell, or similar scripting languages. Experience working in Linux-based development and compute environments. Strong problem-solving, debugging, and analytical skills. Excellent communication and collaboration skills, with the ability to work across global teams. Preferred Qualifications Knowing Synopsys EDA design suite is highly preferred Experience with AI technologies, LLMs, agent-based systems, or intelligent engineering assistants.
Understanding of machine learning applications for engineering productivity and workflow automation. Experience with distributed computing, cloud-based workloads, or large-scale engineering infrastructure. Personal Attributes Self-driven engineer who thrives in a fast-paced and innovative environment. Passionate about improving engineering productivity through automation and AI-enabled solutions. Able to translate complex technical challenges into practical, scalable solutions.
Collaborative team player who works effectively across organizations, disciplines, and time zones. Curious, adaptable, and committed to continuous learning and technical excellence. The Team You'll Be A Part Of You will join the Simulation Platforms team within Central CAD / Design Enablement. The team develops and supports the simulation infrastructure that enables semiconductor IP development across the company. Working closely with engineers and tool-development partners around the world, you will help drive next-generation simulation technologies, platform scalability, and AI-enabled engineering workflows.
Synopsys Canada ULC values the diversity of our workforce. We are committed to provide access & opportunity to individuals with disabilities and will provide reasonable accommodation to individuals throughout the recruitment and employment process. Should you require an accommodation, please contact [email protected] .
Job description provided by Synopsys.
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