Intern Engineer - Digital IC Design (AI-Assisted Design Focus), Ahuntsic North

Huawei Canada has an immediate 6-8 month internship opening for an Engineer. About the team: Initially founded in 1991 as Huawei's ASIC Design Center, the IC Lab is a leading global fabless semiconductor lab. This lab delivers trusted, cutting‑edge semiconductor products and services for smart devices, contributing to smart home and mobility solutions. The local team in Canada specializes in semiconductors, and chipset solutions.

About the job:

Participate in digital IC module design, including:

o RTL design using Verilog/SystemVerilog

o Module‑level implementation and optimization

Assist in key stages of the design flow, including:

o Simulation and functional verification

o Synthesis and Static Timing Analysis (STA)

o Power, Performance, and Area (PPA) optimization

Contribute to AI‑assisted EDA exploration, including but not limited to:

o Applying machine learning techniques to optimize synthesis and placement&routing

o Automated RTL generation and optimization (e.g., LLM‑based or rule‑based approaches)

o Design Space Exploration (DSE)

Develop scripts to improve design automation (Python, TCL, etc.)

Collaborate with architecture, verification, and physical design teams to support project delivery

The

total target annual compensation

for this position ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.

About the ideal candidate:

Currently pursuing a Master’s degree or PhD in Electrical Engineering, Computer Engineering, Microelectronics, Integrated Circuits, or a related field

Solid understanding of digital design fundamentals:

Sequential and combinational logic

Finite State Machine (FSM) design

Synchronous design principles (e.g., CDC, clock domains)

Proficiency in at least one hardware description language: Verilog or SystemVerilog

Familiarity with Linux environments and basic scripting skills (Python, Shell, or TCL), familiarity with mainstream EDA tools (e.g., Synopsys or Cadence tool flows)

Experience in at least one of the following:

RTL design projects (coursework, internships, or open‑source projects)

FPGA development

Experience with AI‑assisted EDA is an asset:

Applying machine learning to EDA optimization (e.g., timing prediction, congestion prediction)

Familiarity with AI4EDA‑related research or projects (e.g., work from Google Brain / DeepMind)

Experience in one or more of the following areas is an asset:

Design flow automation

RTL/code generation tools (e.g., LLM‑based approaches)

Reinforcement learning applications in chip design

Knowledge in at least one of the following domains is an asset:

High‑speed interfaces (SerDes)

AI accelerators (NPU/GPU)

SoC architecture design

Additional Information: Huawei Canada is committed to a fair, inclusive, and accessible recruitment process. If you require accommodation during any stage of the hiring process, please let us know and we will work with you to meet your needs.

All applications for this position are reviewed directly by our hiring team,

we do not use artificial intelligence tools

to screen or select candidates.

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