Machine Learning Engineer, AI Processors (Sr to Staff)

The Institute for Performance and Learning; Markham; On-site; CAD 131,000 - 181,000; Full time

Benefits offered by this job

Annual bonus

RSU grants

Benefits package

Job summary

Qualcomm Canada ULC seeks a Machine Learning Engineer to join the AI Processor Solutions team. You will develop AI applications for Snapdragon platforms, focusing on computer vision, multimodal AI, and edge deployment across mobile, edge, XR, and IoT devices.

The role requires strong ML fundamentals, experience with PyTorch or TensorFlow, and Python/C++ software development. Collaboration across hardware and software teams is essential to balance performance and power for real-world use.

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 ability to work in a cross-functional environment.

Responsibilities

• Stay current with advances in AI, ML, and foundation models.
• Research, develop, and optimize AI algorithms for deployment on Snapdragon platforms.
• Design and build reference applications showcasing Snapdragon AI capabilities across devices.
• Evaluate hardware-software trade-offs to balance performance and power efficiency.
• Support implementation, optimization, and commercialization of AI algorithms on Snapdragon devices.

Skills

Machine learning algorithms

Computer vision

Multimodal AI

Agentic AI

Python

C++

PyTorch

TensorFlow

Education

Bachelor's degree in Computer Science/Engineering/IS (related)

Master's degree in Computer Science/Engineering/IS (related)

PhD in Computer Science/Engineering/IS (related)

Tools

PyTorch

TensorFlow

Job description

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.
• 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.
• 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 [e-mail] 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.

Pay range and Other Compensation & Benefits:

$131,200.00 - $181,200.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

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