JOB POSTING INFORMATION
Position Type:	Professional Experience Year Co-op (PEY Co-op: 12-16 months)
Job Title:	FY24 Intern - Machine Learning Systems Engineering Internship
Job Location:	Markham, ON
Job Location Type:	On-Site
Number of Positions:	1
Salary:	Salary Not Available, 0.0 hours per week
Start Date:	05/01/2024
End Date:	08/29/2025
Job Function:	Engineering
Job Description:	Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Headquartered in San Diego, for over 30 years Qualcomm inventions have inspired others to make the impossible, possible. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the technologies of an intelligently connected future, spearheading research efforts for the next global wireless standard, and collaborating with industry leaders in the wireless value chain to make this future a commercial reality.     As a Qualcomm Systems Engineering Intern you will be part of the Qualcomm Machine Learning Systems Team. You will work closely with machine learning software and hardware performance architecture teams working to create and improve ML compilers for Qualcomm chips. The team also creates, deploys, and uses performance-driven simulation components for analysis and design of ML FW, SW and HW. This opportunity will utilize and strengthen the candidates’ SW and HW knowledge skill set.    KEY RESPONSIBILITIES:  1. Compile neural networks to Qualcomm hardware, then analyze results and prototype algorithms to improve compilers and/or HW.  2. Create simulation models using Python, C, C++ to analyze the performance of neural networks on Qualcomm hardware  3. Run, debug, and analyze performance simulations and suggest enhancements to Qualcomm software and hardware to tackle bottlenecks due to computing and system memory hierarchy     A transcript is required. Please make sure you upload one.
Job Requirements:	Programming Languages:    C/C++  Python    Minimum Qualification:   Python or C++    Preferred Qualifications:   Detail-oriented with strong analytical and debugging skills  Effective communication skills (written and verbal)  Strong knowledge of Python  Knowledge of C/C++ is a strong asset  Strong object-oriented design principles are an asset  Knowledge of software processes (revision control, continuous integration, etc.)  Knowledge in one or more of the following disciplines is preferred:  machine learning APIs, convolutional neural networks  Working knowledge of digital circuits and event-driven simulators is an asset    Educational Requirements:   In study towards a Bachelors in the following:   Electrical or Computer Engineering  Computer Science or Mathematics  Engineering Physics, System Design Engineering, or other multi-disciplinary fields  Must be available for at least 12 months. 16 months is preferred.
Preferred Disciplines:	Computer Engineering Computer Science Electrical Engineering Engineering Science (Electrical and Computer)
All Co-op programs:	No
Targeted Co-op Programs:	Targeted Programs Professional Experience Year Co-op (12 - 16 months)

APPLICATION INFORMATION
Application Deadline:	Oct 27, 2023 11:59 PM
Application Receipt Procedure:	Employer Website
If by Website, go to:	https://careers.qualcomm.com/careers/job/446695218603
Additional Application Information:	Note to PEY Co-op applicants: In addition to your application by email/website, please ensure that you select the “I intend to apply for this position” tab on the portal.  This will give us a record of your submitted application in the event that you will be invited for interviews. Apply via employer website: https://careers.qualcomm.com/careers/job/446695218603
U of T Job Coordinator:	Kaisa Moran

ORGANIZATION INFORMATION
Organization:	Qualcomm Canada Inc.
Division:	Markham Toronto Design

ADDITIONAL INFORMATION
Length of Workterm:	FIXED PEY Co-op: 16 months