Software Engineer, Qualcomm AI Runtime
Job in
Markham, Ontario, Canada
Listed on 2026-02-23
Listing for:
Nutanix
Full Time
position Listed on 2026-02-23
Job specializations:
-
Software Development
Software Engineer, AI Engineer, Embedded Software Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 tool chains 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 tool chains 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 Tensor Flow, 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.
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 disabili or call Qualcomm's toll‑free number found here. Upon…
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