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.

📌 AI Automation Staff Engineer Synopsys (Ahuntsic)
🏢 Synopsys
📍 Ahuntsic