Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm · Markham, Canada · 9d ago
Company:
Qualcomm Canada ULCJob Area:
Engineering Group, Engineering Group > Machine Learning EngineeringGeneral Summary:
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon platforms.
In this role, you will work on cutting-edge machine learning algorithms and technologies spanning computer vision, multimodal AI, and agentic AI systems, and contribute to research and development of AI applications optimized for accuracy, efficiency, and real-world performance on Snapdragon-powered devices. Replacement Position
Responsibilities
- Stay current with the latest advances in artificial intelligence, machine learning, and foundation models.
- Research, develop, and optimize AI algorithms for deployment on Qualcomm Snapdragon platforms.
- Design and build innovative reference applications showcasing Snapdragon AI capabilities across mobile, edge, XR, and IoT devices.
- Evaluate and balance hardware and software trade-offs to achieve optimal performance, power efficiency, and user experience.
- Support the implementation, optimization, and commercialization of AI algorithms and applications on Snapdragon devices.
Qualifications:
- Strong background in machine learning algorithms, computer vision, multimodal AI, agentic AI, or related fields.
- Proficiency with modern machine learning frameworks such as PyTorch or TensorFlow.
- Passion for innovation and for building efficient AI solutions on edge devices.
- Strong software development skills in Python and/or C++,
- Strong problem-solving skills and the ability to work effectively in a cross-functional environment.
- Familiarity with embedded development, operating systems concepts and software development principles.
Preferred Qualifications:
- Master’s or PhD degree with 3+ years of relevant work experience or publications in the areas of machine learning, agentic AI, computer vision, video/image processing algorithms, NLP or audio/speech processing.
- Experience developing and deploying AI solutions in real-world applications.
- Experience translating AI/ML algorithms into software applications running on edge devices.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
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