Staff R&D Engineer – AI-Driven Simulation Platform in Ottawa

Staff R&D Engineer – AI-Driven Simulation Platform in Ottawa

Ottawa Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Build scalable AI-driven simulation platforms and collaborate with global IP design teams.
  • Company: Join Synopsys, a leader in cutting-edge technology based in Ottawa.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Dynamic work environment with exciting challenges and career advancement.
  • Why this job: Make a real impact on thousands of designers with innovative AI solutions.
  • Qualifications: Experience in simulation platforms and strong collaboration skills required.

The predicted salary is between 135000 - 165000 $ per year.

Synopsys in Ottawa, ON is seeking a senior Simulation Platform Engineer to help build scalable analog/mixed-signal simulation infrastructure and AI-assisted automation for IP design teams worldwide.

You will partner with EDA vendors, enable production sign-off flows, and contribute to cloud-based workloads and next-generation engineering workflows.

Onsite in Ottawa, you will impact thousands of IP designers.

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Staff R&D Engineer – AI-Driven Simulation Platform in Ottawa employer: Synopsys Inc

Join a forward-thinking company that values innovation and collaboration in the semiconductor industry. As an Innovative Project Engineering Manager, you'll thrive in a dynamic work culture that encourages professional growth and offers opportunities to lead groundbreaking Silicon IP projects. Located in a tech hub, our company provides competitive benefits and a supportive environment where your expertise will drive meaningful advancements in technology.

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Contact Details:

Synopsys Inc Recruitment Team

We think you need these skills to ace Staff R&D Engineer – AI-Driven Simulation Platform in Ottawa

Analog/Mixed-Signal Simulation
AI-Assisted Automation
EDA Vendor Collaboration
Production Sign-Off Flows
Cloud-Based Workloads
Engineering Workflows
Scalability