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Added 43 mins ago
M
Stagiaire en opérations critiques Centre de données / Critical Environment Ops INTERN Data Center
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Quebec, QC · Greater Quebec City Metropolitan Area
- Full-time
Added 1 hour ago
HR
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- $23 to $30 CAD / hour
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UO
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Added 4 hours ago
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- $23 to $30 CAD / hour
- Full-time
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…initiatives, and shape new directions for General Motors. As an intern or co-op student through our EXCEL (Exploring Careers through Experiential Learning) Program you will gain hands-on…
Added 7 hours ago
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…production environment. Although business processes vary, the design of the Engineer role is to provide appropriate exposure to the people management and technical aspects of…
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- $43,800 to $50,000 CAD / year
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Added 12 hours ago
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Intern, Stress Engineering - Final Assembly Line (Winter 2027)
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Mississauga, ON
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Collaborate with stress engineers and other team members to analyse and interpret data and provide design improvements or modifications and resolve issues related to structural integrity,…
Added 12 hours ago
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Intern, Manufacturing Engineering, Reliability (Winter 2027)
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Added 12 hours ago
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Bombardier
Mississauga, ON
- $17.95 to $31 CAD / hour
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Added 12 hours ago
IC
GPU & AI Accelerator Hardware Design Undergraduate Intern
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
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…

Intel Corporation

GPU & AI Accelerator Hardware Design Undergraduate Intern

Toronto, ON, Canada
CAN - - Toronto, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 30, 2026
Posting language: English
Posted: Oct 2, 2026

Original 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:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

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 without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Annual Salary Range for jobs which could be performed in Canada

Salary range dependent on a number of factors including location and experience.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

Canada Accommodation:

Intel is committed to a culture of accessibility. Intel provides accommodations to applicants and employees with disabilities. Find information and request accommodation here.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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More about this job

Responsibilities

The intern will support the design, bring-up, and validation of GPU and AI accelerator hardware platforms. They will collaborate with cross-functional engineering teams to troubleshoot technical challenges and automate data collection processes.

Requirements

Candidates must be pursuing a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Applicants should have at least 3 months of experience with hardware design principles, PCB layout, and debugging tools.

Skills

PCB design
Hardware design
Circuit design
Simulation
Board bring-up
Validation
Debugging
Automation
Python
Cadence
Altium
AI accelerator hardware
Power delivery
FPGA firmware
Oscilloscopes
Thermal measurement

Benefits

Competitive benefits package

Visa sponsorship

Not detected in the job text

Keywords

GPU
AI Accelerator
Hardware Design
PCB
Schematic Design
Bill of Materials
Sigrity
SIMetrix
Mathcad
MATLAB
PowerDC
Python
FPGA
Firmware
Oscilloscopes
Thermal Measurement
x86 Architecture
PCIe
Memory
Display Technologies
Power Management
3D Graphics
Electrical Engineering
Computer Engineering
Computer Science
Mechatronics Engineering
Validation
Characterization
Automation
Hardware Debug

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