Company:Qualcomm Canada ULC
Job Area:Engineering Group, Engineering Group > Machine Learning Engineering
General 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.
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. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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If you would like more information about this role, please contact Qualcomm Careers.
