Apply AI-assisted automation, Python scripting, and engineering judgment to simulation workflows at Synopsys, working onsite in Ottawa, ON.
As an R&D; Staff Engineer on the Simulation Platforms team, you will turn emerging AI and LLM technologies into practical tools. You will improve simulation setup, debugging, and workflow optimization for semiconductor IP development. Your work will also support distributed computing, cloud workloads, and production sign-off flows used across the company.
Key Responsibilities: Translate AI technologies into practical simulation automation tools
Optimize setup, debugging, and engineering workflows
Support Monte Carlo and post-layout simulation methodologies
Investigate designer challenges and deliver platform solutions
Provide documentation, training, consultation,



and best-practice guidance
Requirements: Bachelor's degree with 7-8+ years, Master's with 5-6+ years, or PhD with 3-4+ years
Electrical Engineering, Computer Engineering, Computer Science, or related degree
Hands-on circuit simulation and custom design flow experience
Experience with Python, Tcl, Shell, or similar automation languages
AI, LLM, agent-based, or machine learning experience is a plus
Bring pragmatic AI experimentation and simulation automation skills to improve how Synopsys engineers configure, debug, and complete workloads.

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📌 AI Automation Staff Engineer Synopsys (Quebec City)
🏢 Synopsys
📍 Quebec City