Job Description & How to Apply Below
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.
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