GPU & AI Accelerator Hardware Design Undergraduate Intern
Are you interested in GPU and AI accelerator hardware
As a GPU & AI Accelerator Hardware Design Undergraduate Intern
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
Problem-solving
Attention to detail
Collaboration
Communication
Initiative
Innovation mindset
Proactive mindset
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.
Help build the hardware powering the next generation of GPU and AI computing.
Job Type
Shift
Primary Location
Posting Statement
Work Model for this Role
Canada Accommodation
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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.
Not included in the source posting: about the role, benefits.
Skills
Who can apply
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