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 toolsOptimize setup, debugging, and engineering workflowsSupport Monte Carlo and post-layout simulation methodologiesInvestigate designer challenges and deliver platform solutionsProvide documentation, training, consultation,



and best-practice guidanceRequirements: Bachelor's degree with 7-8+ years, Master's with 5-6+ years, or Ph D with 3-4+ yearsElectrical Engineering, Computer Engineering, Computer Science, or related degreeHands-on circuit simulation and custom design flow experienceExperience with Python, Tcl, Shell, or similar automation languagesAI, LLM, agent-based, or machine learning experience is a plusBring pragmatic AI experimentation and simulation automation skills to improve how Synopsys engineers configure, debug, and complete workloads.#J-18808-Ljbffr

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