Job Area:Engineering Group, 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 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.
ReplacementQualifications:- 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
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 / Architecture
Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
If you would like more information about this role, please contact Qualcomm Careers.
