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AI System/Hardware Architect

Qualcomm

On-site
Markham, ON
Full-time
Senior
4+ yrs
Salary not listedPosted 1w ago

Real job — pulled straight from Qualcomm’s careers page · Verified August 24, 2026 · No reposts.

Job description

Qualcomm is hiring a AI System/Hardware Architect — a full-time, based in Markham, ON role. Apply directly on Qualcomm's careers page below.

AI System/Hardware Architect

Location: Markham, Ontario, Canada

Department: Machine Learning Engineering

Work Location: onsite


Company:

Qualcomm Canada ULC

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. Replacement

Qualifications:

  • 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.

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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Frequently asked questions

What skills are required for AI System/Hardware Architect at Qualcomm?

The required skills for AI System/Hardware Architect at Qualcomm include: C++, Python, Machine Learning, Computer Vision.

What is the seniority level for AI System/Hardware Architect at Qualcomm?

AI System/Hardware Architect at Qualcomm is a Senior level position.

How do I apply for AI System/Hardware Architect at Qualcomm?

You can view the full description and apply for AI System/Hardware Architect at Qualcomm on EchoJobs: https://echojobs.io/job/qualcomm-ai-system-hardware-architect-c3w77.