Build scalable analog and mixed-signal simulation infrastructure at Synopsys in Ottawa, using Python automation and Linux-based engineering environments onsite.

As an R&D; Staff Engineer, you will support simulation platforms serving IP designers worldwide. You will improve distributed and cloud-based workloads, enable production sign-off flows, and translate engineering challenges into reliable platform capabilities. The work spans design automation, circuit simulation, and AI-assisted workflow tools.

Key Responsibilities:

- Build scalable analog and mixed-signal simulation infrastructure
- Design AI-assisted simulation setup and debugging automation
- Improve distributed and cloud-based simulation environments
- Enable Monte Carlo and reliability sign-off methodologies
- Partner with design teams,



vendors, and tool developers

Requirements:

- Bachelor's degree plus 7-8+ years of experience, or equivalent advanced degree experience
- Background in CAD, design automation, or simulation infrastructure
- Experience with circuit simulation and production testbench automation
- Proficiency in Python, Tcl, Shell, or similar scripting languages
- Experience in Linux-based development and compute environments

Apply your simulation infrastructure, automation, and platform expertise to help Synopsys engineering teams deliver reliable sign-off workflows.

📌 Staff Simulation Infrastructure Engineer (Ottawa)
🏢 Synopsys
📍 Ottawa