AI System/Hardware Architect

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Mjukvaruutveckling · Systemteknik

I korthet

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.

Ansvarsområden

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.

Krav

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.

Önskade kvalifikationer

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

Förmåner

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.

Färdigheter

C++PythonMachine LearningComputer VisionVideo ProcessingData ModelingComputer ArchitectureHardware ArchitectureObject-Oriented ProgrammingGPU Programming

#AI#Machine Learning#Hardware Architecture#Software Engineering#Systems Engineering#Snapdragon#Qualcomm