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Qualcomm Innovation Center, Inc.

Machine Learning Engineer, AI Processors (Sr to Staff)

Markham, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Company:Qualcomm Canada ULCJob 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).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

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More about this job

Responsibilities

Research, develop, and optimize machine learning algorithms and applications for Qualcomm Snapdragon platforms, including work across computer vision, multimodal AI, and agentic AI. Build reference applications and support implementation and commercialization while balancing performance, power efficiency, and user experience across mobile, edge, XR, and IoT devices.

Requirements

Requires a relevant degree and 2–4+ years of hardware, software, systems engineering, or related experience, depending on degree level. Candidates should have machine learning expertise, proficiency with PyTorch or TensorFlow and Python and/or C++, strong problem-solving and collaboration skills, and familiarity with embedded development; advanced degrees and real-world edge AI experience are preferred.

Skills

Machine Learning
Computer Vision
Multimodal AI
Agentic AI
PyTorch
TensorFlow
Python
C++
Edge AI Deployment
AI Algorithm Optimization
Embedded Development
Operating Systems
Image Processing
Video Processing
Natural Language Processing
Audio and Speech Processing

Visa sponsorship

Not detected in the job text

Keywords

Qualcomm Snapdragon
Machine Learning
Artificial Intelligence
Computer Vision
Multimodal AI
Agentic AI
Foundation Models
PyTorch
TensorFlow
Python
C++
Edge Devices
Embedded Development
Mobile Devices
XR
Internet of Things
AI Algorithm Optimization
Hardware-Software Trade-Offs
Power Efficiency
Image Processing
Video Processing
Natural Language Processing
Audio Processing
Speech Processing
AI Application Development

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