Company Qualcomm Canada ULC
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary 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 leading 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 cross‑site leads, developers and OEMs to optimize network 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.
Responsibilities Design and develop high‑performance software using model C++17 for the Qualcomm AI Runtime SDK.
Design and develop impactful solutions to optimize network 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 teams 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.
Minimum Qualifications (Education) 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.
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.
PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Minimum Qualifications (Software) 12+ years of experience in software engineering and release engineering/devops.
Experience with modern C++17 language features and C++ design patterns.
Background in mathematical algorithms using fast math libraries and vector instruction 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 or integrating Qualcomm AI Stack products (e.g., QNN, SNPE, QAIRT).
Familiarity with TensorFlow, PyTorch, or ONNX.
Experience with agile software development practices, JIRA, and tools such as Git.




Ability to collaborate and lead discussions across a globally diverse team.
Experience with Linux/Unix and Windows‑based OS software development environments.
Effective English communication skills (verbal, presentation, written).
Previous experience working in an Agile environment and collaborating with multi‑disciplinary teams.
Preferred Qualifications Programming/debugging skills in multiple programming languages (C/C++ preferred).
Some experience working with deep learning model training/inference pipelines.
Experience profiling software and optimization techniques.
Experience with Windows software development environment.
Experience with Android or other embedded systems and developing tools for embedded platforms.
Experience with virtualization techniques and containerization technologies such as Docker.
Experience with automated generation and maintenance of complex software documentation.
Ability to collaborate across a globally diverse team and handle multiple interests.
Education Requirements Required: Bachelor's degree in Engineering or equivalent experience, Information Systems, Computer Science, or related field.
Preferred: Master's degree in Computer Science, Computer Engineering, or Electrical Engineering.
Equal Chance Employer 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‑[email protected] or call Qualcomm's toll‑free number. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.

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📌 Sr. Staff Software Engineer | QC AI Runtime (Ontario)
🏢 Qualcomm
📍 Ontario