GPU & AI Accelerator Hardware Design Undergraduate Intern

Intel; Toronto; On-site; CAD 21,000 - 30,000; Part time

Benefits offered by this job

Benefits package

Job summary

Intel Toronto is seeking an Undergraduate Intern to help design and validate GPU and AI accelerator hardware. You will work on PCB layout, power delivery, and board bring-up across cross-functional teams.

You will gain hands-on experience with Cadence, Sigrity, and MATLAB while developing automation scripts in Python and contributing to hardware debugging efforts onsite.

Qualifications

• Pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics, or related field.
• 3+ months educational or work experience in hardware design principles and PCB layout.
• Experience with board bring-up, debugging tools, and electrical measurements.
• Cadence, Altium, or similar tools; familiarity with AI acceleration hardware is a plus.

Responsibilities

• Support GPU and AI accelerator board and power design from concept through bring-up and validation.
• Assist PCB schematic design, layout, component selection, and BOM development.
• Learn to troubleshoot high-speed board, power, digital, and analog design challenges.
• Use tools like Cadence, Sigrity, SIMetrix, MATLAB, or similar for design and validation.
• Participate in board bring-up, characterization, validation, and hardware debug.
• Collaborate with multiple engineering teams across disciplines.

Skills

Python programming

Problem-solving

Attention to detail

Team collaboration

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, CS or related field

Tools

Cadence

Altium

Sigrity

MATLAB

Job description

Job Details

Job Description:

The Role and Impact

Are you interested in GPU and AI accelerator hardware and want hands-on experience designing and bringing new technology to life?

As a GPU & AI Accelerator Hardware Design Undergraduate Intern , you will work alongside experienced engineers developing next-generation GPU and AI accelerator platforms. You will gain practical experience across PCB and board design, power delivery, circuit design, simulation, board bring-up, validation, debugging, and automation.

This internship provides an opportunity to apply concepts learned through coursework, labs, research, and technical projects to real-world hardware challenges while collaborating with Intel's cross-functional engineering teams.

What You'll Do

Depending on project and team needs, you mayhave the key responsibilities will include but not limited to :

• Support GPU and AI accelerator board and power design from concept through bring-up and validation.
• Assist with PCB schematic design, layout, component selection, and Bill of Materials (BOM) development.
• Learn to troubleshoot challenges involving high-speed board, power, digital, and analog design.
• Use engineering and simulation tools such as Cadence, Sigrity, SIMetrix, Mathcad, MATLAB, PowerDC, or similar tools.
• Participate in board bring-up, characterization, validation, and hardware debug.
• Use laboratory equipment such as oscilloscopes and thermal measurement equipment and support soldering/rework activities.
• Assist with evaluating power requirements and power-delivery solutions for GPU and AI accelerator designs.
• Develop or improve test methods and use Python or other scripting languages to automate measurements and data collection.
• Gain exposure to microcontroller and FPGA firmware design and debugging.
• Collaborate with board, layout, thermal-mechanical, validation, firmware, software, and other engineering teams.
• Research and evaluate technologies that can improve future hardware designs and engineering processes.

Behavioral traits that we are looking for :

• Curiosity and learning agility: Eager to learn new technologies, tools, and hardware-design concepts.
• Problem-solving: Uses a structured approach to investigate and troubleshoot technical issues.
• Attention to detail: Carefully evaluates designs, measurements, and test results.
• Collaboration: Works effectively with engineering partners across different disciplines.
• Communication: Clearly shares technical observations, questions, and results.
• Initiative: Takes ownership of assignments and proactively seeks guidance when needed.
• Innovation mindset: Looks for opportunities to improve tools, designs, and processes.
• Proactive mindset: Anticipates needs, identifies potential challenges early, and takes appropriate action without waiting to be asked.

Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.

Qualifications

Minimum Qualifications and Experience :

• Candidate must be pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Mechatronics Engineering, or other relevant science/engineering related field.
• Candidate must also have 3+ months of educational or work experience with the following:
• Hardware design principles and PCB layout techniques.
• Experience with board bring-up, debugging tools, and electrical measurements.
• Design software such as Cadence, Altium, or similar tools.
• AI acceleration hardware and computing architectures.

Preferred Qualifications and Experience :

• Discrete graphics add-in cards or mobile discrete graphics systems.
• Knowledge of current leading PC technology.
• Familiar with PC x86 architecture and excellent system level knowledge including CPU processor, multimedia, memory, PCIe, display technologies, power management, 3D graphics.
• Experience in building your own PC and computer hardware.
• Programming skills in Python or similar languages.

Why Join Intel?

Help build the hardware powering the next generation of GPU and AI computing. You'll gain hands-on experience designing, bringing up, and validating advanced hardware while learning from engineers across board, power, thermal, firmware, and validation disciplines. You'll apply what you've learned in the classroom to real engineering challenges and develop skills that can help launch your career in hardware engineering.

Job Type:

Student / Intern

Shift:

Shift 1 (Canada)

Primary Location:

Canada, Toronto

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment