Engineer, AI Systems Architecture

Job Description

Engineer, AI Systems Architecture

Company: Qualcomm Canada ULC

Job Area: 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

Analyze and optimize custom processors/accelerators, develop and train data-driven architecture models, correlate these models, and perform system-level architecture analysis.

Qualifications

• Strong academic records (GPA 3.0 or 72% and better)


• Excellent programming skills in C/C++ and Python


• Strong problem-solving skills


• Strong motivation and capability 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 skills (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 and 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. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of company confidential information and other proprietary information, to the extent those requirements are permissible under applicable law.