Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

Do you ever wonder when will connected devices become thinking devices? Be part of the group that is working on technology that will bring “Cognition” to all connected devices: That means devices that don’t just think but instinctively react to their surroundings.

We are searching for an Engineer, AI Systems Architecture to be part of the Qualcomm AI Processor team responsible for analyzing and developing Artificial Intelligence / Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling of machine-learning hardware and processors, as well as analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices.

Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis.

Qualifications

New grads as well as candidates with 1-3 years of experience are welcome to apply with experience in the following area:

Strong academic records (GPA 3.0 or 72% and better)
Excellent programming skills in C/C++, Python
Strong problem-solving skills
Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence
Knowledge of data-driven modelling
Knowledge of computer and hardware architecture
Effective interpersonal communications skill (written and verbal)
Analytical, thorough, resourceful, and detail-oriented
Self-motivated, hardworking, and flexible

Preferred Qualifications

Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications
Advanced understanding of computer architecture
Advanced understanding of data-driven modelling
Excellent verbal, written, and presentation skills
Ability to work effectively as part of a team
Knowledge of OOP principles
Knowledge of GPU Programming / Architecture is a bonus

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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If you would like more information about this role, please contact Qualcomm Careers.

Engineer, AI Systems Architecture

Job Type