ASIC CAD Coop/Intern

Descripción del puesto:

Position Title: ASIC CAD Co-op/Intern
Number of Position(s): 1
Duration: 12-16 Months
Date: Sept - Dec 2026
Location: Hybrid- Ottawa, CA

Education Recommendations
Currently enrolled in an Electrical/Computer Engineering program at an accredited institution in Canada.

You'll be part of an innovative ASIC design team contributing to the development of leading-edge chips, gaining hands-on experience in design automation, synthesis, and rule-checking in a collaborative environment.

You will
* Collaborate with a world-class ASIC design team, focusing on Coherent Optics market chips.
* Develop and implement an efficient ASIC flow, ensuring optimal design processes.
* Create and optimize scripts for design automation, enhancing productivity.
* Perform synthesis and rule checking, ensuring design integrity and compliance.
* Assist in various design tasks as needed, contributing to the overall project success.
* Engage in knowledge sharing and continuous learning within the team.
* Maintain effective communication with team members and stakeholders.
* Stay updated with industry trends and advancements in ASIC design.
* Support the team in achieving project milestones and goals

Requerimientos del candidato/a:

You have
* Proficiency in Python or other programming/scripting languages, with solid hands-on experience.
* Strong problem-solving skills with a structured, analytical, and detail-oriented mindset
* Clear and effective verbal and written communication skills, enabling strong collaboration across teams.
* Ability to work collaboratively in a dynamic, fast-paced environment and adapt to changing priorities.
* A genuine passion for technology and motivation to contribute to cutting-edge innovations.

Nice to have
* Academic or practical experience in ASIC design through coursework, projects, or internships.
* Familiarity with Synopsys Electronic Design Automation (EDA) tools.
* Knowledge of Verilog or System Verilog for digital design tasks.
* Exposure to machine learning concepts or neural networks