AI System/Hardware Architect
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Software Engineering · Systems Engineering
In short
Qualcomm is seeking an experienced AI Systems Architecture Engineer to join their AI Processor team in Markham, Ontario. This role involves analyzing and developing AI/ML software for Snapdragon processors, modeling machine-learning hardware, and optimizing custom processors/accelerators. The ideal candidate will have excellent programming skills in C++/Python and a strong understanding of AI, computer architecture, and data-driven modeling.
Responsibilities
- Analyzing and developing Artificial Intelligence / Machine Learning software applications and use cases for Qualcomm Snapdragon processors.
- Working on modelling of machine-learning hardware and processors.
- Analyzing new cutting-edge algorithms in machine learning, computer vision, and video processing.
- 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
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- PhD in Computer Science, Engineering, Information Systems, or related field.
Desired 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
Benefits
- Competitive annual discretionary bonus program
- Opportunity for annual RSU grants
- Highly competitive benefits package designed to support your success at work, at home, and at play.
Skills
C++PythonMachine LearningComputer VisionVideo ProcessingData ModelingComputer ArchitectureHardware ArchitectureObject-Oriented ProgrammingGPU Programming
#AI#Machine Learning#Hardware Architecture#Software Engineering#Systems Engineering#Snapdragon#Qualcomm
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
3 weeks ago
Employment Type
Full Time
Work mode
On Site
Salary
US$114,400–164,400 / year
Experience Level
Mid-Senior
Locations
Markham, Canada
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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