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Qualcomm

Staff AI Software Engineer

Markham, ON, Canada

Job type: Full-time
Experience: 5+ years industry experience
Posting language: English
Posted: Sep 17, 2026

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Original job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

AI’s ability to solve complex problems across multiple domains is transformative. Here in the artificial intelligence software group. we are building highly optimized on-device AI solutions. We combine high performance software with cutting edge hardware to run deep neural nets with that little computer you keep in your pocket, that car you drive, or that vacuum cleaner you unleash to clean your house. Come join us if you want to work on bleeding edge AI technology. In this position you will build high performance software for AI engines which include Snapdragon Neural Processing Engine, Android NN, and Tensorflow Lite delegate and many more. We develop new tools and SDKs to extend our AI solutions into industry leading customer use cases.

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.

Responsibilities:

Own and deliver key aspects of the AI stack and provide solutions that make a difference
Coordinate development with various teams to ensure a cohesive product
Ability to work with larger teams to push an idea forward
Development of optimization algorithms for ML operators/layers for the Qualcomm AI SW stack
Development of AI SW stack framework enhancements for optimal resource usage while running a neural network on Qualcomm hardware
Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
Evaluating and optimizing neural networks runtime performance and accuracy
Working with customer teams to enable state of the art network models and new AI SW features to meet customer use-cases
Collaborating with AI hardware and architecture teams to continuously improve our AI solution
Being an active contributor to the development process to ensure commercial quality software releases
Participate in software quality process improvements

Ideal candidates will demonstrate the following:

5+ years industry experience
Enjoy software development with excellent programming capability and analytical, development, and debugging skills
Curiosity and willingness to continually learn new things and propose new ideas
Experience with C/C++, Python
C++ work experience
Android or embedded Linux software development preferred
Optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and / or DSPs
Experience with Python numpy and deep learning frameworks such as TensorFlow, PyTorch
Background in mathematical operations: linear algebra, fast math libraries, multi-threading and vector instruction sets
Excellent communication skills (verbal, presentation, written)
Ability to collaborate across a globally diverse team and multiple interests

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

The role involves developing high-performance software for AI engines and optimizing neural network runtime performance on Qualcomm hardware. You will collaborate with cross-functional teams to deliver AI stack enhancements and support customer use cases.

Requirements

Candidates must hold a degree in Computer Science, Engineering, or a related field with at least 2 to 4 years of relevant work experience depending on the degree level. Proficiency in C/C++, Python, and experience with deep learning frameworks and embedded software development are required.

Skills

C++
Python
Machine Learning
Deep Neural Networks
TensorFlow
PyTorch
Android
Embedded Linux
OpenCL
OpenGL ES
DSP
Linear Algebra
Multi-threading
Vector Instruction Sets
Software Optimization

Visa sponsorship

Not detected in the job text

Keywords

Staff AI Software Engineer
Qualcomm
Machine Learning
Snapdragon Neural Processing Engine
Android NN
TensorFlow Lite
C++
Python
Embedded Systems
Hardware Acceleration
OpenCL
OpenGL ES
DSP
Linear Algebra
Multi-threading
Vector Instruction Sets
Neural Networks
Software Optimization
Debugging
Profiling
SDK Development
Artificial Intelligence
Edge Computing
IoT
Automotive
Mobile
Software Engineering
Systems Engineering
Algorithm Development
Performance Tuning

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