DSP System/Hardware Architect

Qualcomm•Markham, ON

About The Position

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 a season AI Systems Architecture Engineer 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.

Requirements

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

Nice To Haves

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