Hiring.Camp

GPU & AI Accelerator Hardware Design Undergraduate Intern

Intel

·

Yesterday

Location
CAN - - Toronto, Canada
Type
Internship
Department
Engineering
Seniority
Internship
Education
Bachelor
Closing date
Today
Source
Workday

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.

Skills

PythonMATLABCompliance

Similar Jobs

30

GPU & AI Accelerator Hardware Design Undergraduate Intern

Intel·CAN - - Toronto, Canada

1d ago

AI GPU Cache Designer

Intel·USA - CA - Santa Clara, US +3

5d ago

AI GPU Cache Designer

Intel·USA - CA - Santa Clara, US +3

5d ago

Principal Cloud Architect – HPC/GPU & AI Platform Solutions

Oracle·Romania

3w ago

Principal Global Sales Account Manager, AI/GPU

Micron·San Jose, CA

3w ago

Principal Global Sales Account Manager, AI/GPU

Micron Technology·San Jose, CA

3w ago

GPU/AI Global Sales - Customer Acquisition

Oracle·GB, UK

3w ago

Principal Cloud Architect – HPC/GPU & AI Platform Solutions

Oracle·GB, UK

1mo ago

Systems Development Engineer, GPU & AI Accelerator Servers, AWS Hardware Engineering

Amazon

1mo ago

Principal Cloud Architect – HPC/GPU & AI Platform Solutions

Oracle·LONDON, GB

1mo ago

Principal Cloud Architect – HPC/GPU & AI Platform Solutions

Oracle·Hong Kong, HK

2mo ago

GPU/AI Global Sales - Regional Leader

Oracle·United Arab Emirates, AE

3mo ago

Principal GPU AI Kernel Development Engineer

Qualcomm·San Diego, CA

3mo ago

GPU/ AI & OCI Customer Acceleration Executive

Oracle·United Arab Emirates, AE

3mo ago

2026 Intern-GPU AI/Gaming Customer Engineer

Qualcomm

7mo ago

Go-to-Market Champion (GPU & AI)

Impossiblecloud·On-site, Hybrid +1·Hybrid

7mo ago

Senior Account Executive- GPU/AI Infrastructure San Francisco, CA

Esr Healthcare·NYC·Remote

7mo ago

Product Manager, Data Center / GPU / AI Infrastructure

PNY Technologies·Parsippany, NJ

9mo ago

Senior Hardware Engineer - GPU & AI Infrastructure

Roblox·Remote, Onsite

9mo ago

Research Intern, Physical AI and GPU (PhD)

Marvell·IN - Hyderabad, India

2d ago

Senior Principal Cyber Researcher - AI Security/GPU

RTX·US-IA-CEDAR RAPIDS-166 ~ 855 35Th St NE ~ BLDG 166, US·Onsite

2w ago

Systems Engineer III / IV – AI Infrastructure & GPU Platform Administrator

"MILVETS Systems Technology, Inc."·Orlando, FL·Remote, Hybrid, Onsite

2w ago

GPU Kernels AI Task Auditor - Freelance AI Trainer Project

Agency·World Wide - Remote·Remote

4w ago

Senior Software Engineer - GPU Local AI Platforms

Nvidia·Santa Clara, CA +4

2mo ago

Senior Software Engineer - GPU Local AI Platforms

Nvidia·Santa Clara, CA +4

2mo ago

Sales Manager – GPU Compute & AI Model APIs

Yotta Labs·US·Remote

6mo ago

Senior System Software Architect, AI and GPU Networking

Nvidia·Israel, Tel Aviv +1

6mo ago

System Software Architect, AI and GPU Networking

Nvidia·Beijing, CN +1·Remote

7mo ago

Principal Engineer – Scale-Up GPU Networking (HPC / AI)

Hewlett Packard Enterprise (HP)·Bengaluru, Karnātaka·Hybrid

2d ago

Principal Engineer – Scale-Up GPU Networking (HPC / AI)

Hewlett Packard Enterprise (HP)·Bengaluru, Karnātaka·Hybrid

2d ago