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Qualcomm

Staff Software Engineer, Qualcomm AI Runtime

Markham, ON, Canada

Job type: Full-time
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:

Staff Software Engineer – Qualcomm AI Runtime

AI is revolutionizing how we solve complex, cross-domain challenges - and Generative AI (GenAI) and Agentic AI is at the forefront of this transformation. As part of the AI Software team, you will contribute to the development of the Qualcomm AI Runtime SDK, empowering OEMs, and developers to deploy advanced deep neural networks (DNNs) on cutting-edge Qualcomm Hexagon DSP Systems.

In this role, your focus will be on design and development of software to enable GenAI and Agentic AI capabilities for on-device via Qualcomm AI Runtime SDK, enabling real-time, high-performance inference across diverse platforms - from smartphones and automotive systems to smart appliances. You will collaborate with developers and OEMs to optimize GenAI models for on-device inferencing capabilities. You will have the opportunity to show your passion for software design and development with your analytical, design, programming, and debugging skills.

Join us to shape the future of intelligent devices powered by GenAI - where your work will directly impact how users interact with technology in their daily lives.

New Headcount

Duties and Responsibilities:

Design and develop high-performance software using model C++17 for the Qualcomm AI Runtime SDK
Design and develop impactful solutions to optimize GenAI model execution on-device, leveraging Hexagon DSPs for efficient inference latency and power.
Lead new features development for Qualcomm AI Runtime SDK and collaborate with global cross functional team as part of the software development lifecycle
Lead project discussions and analysis on system and model deployment designs for GenAI models
Use cross compiler toolchains for embedded systems such as Android, embedded Linux, Windows on Snapdragon and QNX
Implement and optimize Machine Learning operations using modern C++17 on Hexagon DSP systems
Contribute to the development of tools and GenAI workflows for chip design, model and system analysis
Participate in software quality process improvements

Preferred Qualifications:

Six or more years of relevant work experience
Experience with modern C++17 language features and C++ design patterns
Background in mathematical algorithms using fast math libraries and vector instructions sets
Practical experience with developing middleware or firmware software
Experience with multitasking and multithreading driver development
Experience with Hexagon DSP SDK or cross compiler toolchains for embedded systems and JIT technologies
Experience with low level interactions between operating systems and hardware.
Experience with Qualcomm FastRPC and Windows MCDM drivers
Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT)
Familiarity with TensorFlow, PyTorch or ONNX
Experience with agile software development practices, Jira system and tools such as git
Ability to collaborate and lead discussions across a globally diverse team

Education Requirements:

Minimum: Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
Preferred: Master's degree in Computer Science, Computer Engineering, or Electrical Engineering

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 [email protected] 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

Design and develop high-performance software for the Qualcomm AI Runtime SDK to enable Generative AI and Agentic AI capabilities on-device. Collaborate with global cross-functional teams and OEMs to optimize deep neural network models for efficient execution on Hexagon DSP systems.

Requirements

Requires a Bachelor's degree in Computer Science, Engineering, or a related field with at least 4 years of relevant work experience. Candidates must have strong proficiency in modern C++17, embedded systems development, and experience with machine learning frameworks.

Skills

C++17
Machine Learning
Hexagon DSP
Generative AI
Embedded Systems
Software Development
Debugging
Multithreading
Firmware
TensorFlow
PyTorch
ONNX
Git
Jira
Agile
Cross-compiler toolchains

Visa sponsorship

Not detected in the job text

Keywords

Qualcomm AI Runtime
Generative AI
Agentic AI
C++17
Hexagon DSP
Embedded Linux
Android
Windows on Snapdragon
QNX
Machine Learning
Inference
Deep Neural Networks
FastRPC
MCDM
QNN
SNPE
QAIRT
TensorFlow
PyTorch
ONNX
Agile
Jira
Git
Middleware
Firmware
Multithreading
Vector Instructions
Cross-compiler
JIT

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