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Senior Software Engineer, AI Software Tools

Job in Markham, Ontario, Canada
Listing for: Qualcomm
Full Time position
Listed on 2026-01-01
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 192797 - 289196 CAD Yearly CAD 192797.00 289196.00 YEAR
Job Description & How to Apply Below

Company

Qualcomm Technologies, Inc.

Job Area

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 drive digital transformation, creating a smarter, connected future for all. As a Qualcomm AI Software Engineer, you will develop, implement, and optimize cutting- edge machine learning techniques, frameworks, and tools that enable the efficient utilization of state- of- the- art solutions across a broad set of technology verticals and designs.

In this position, you will be responsible for assisting with the software design and development of the Qualcomm AI Stack, SDKs, and associated tools, including delegates support for ONNX Runtime, Execu Torch and TFLite/LiteRT frameworks. You will target the optimization and acceleration of AI models on Qualcomm Snapdragon platforms and AI accelerators and contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures.

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.

Responsibilities
  • Design, develop, and optimize features for the Qualcomm AI Stack SDKs and tools to support execution of the latest neural networks on Snapdragon platforms.
  • Design, develop, and optimize features for ONNX Runtime Execution Provider, Execu Torch Edge IR graph lowering stack, and LiteRT delegates.
  • Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases.
  • Assist in debugging complex issues, perform root cause analysis, and ensure high system reliability.
  • Collaborate with cross- functional teams to deliver robust, scalable AI software solutions.
  • Assist in feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same.
  • Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team.
  • Participate in design and code reviews.
  • Work independently with minimal supervision.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ 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 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
  • PhD in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications
  • Master's degree in Computer Science, Engineering, Information Systems, or related field.
  • 2+ years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
  • 2+ years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi- media).
  • 2+ years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
  • 2+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
  • 2+ years experience working in a large matrixed organization.
  • 1+ year of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
  • 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Principal Duties and Responsibilities
  • Applies Machine Learning knowledge to extend training or runtime frameworks or model efficiency software tools with new features and optimizations.
  • Models, architects, and develops machine learning hardware (co- designed with machine learning software) for inference or training solutions.
  • Develops optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools) to allow specific hardware features; collaborates with team members for joint design and development.
  • Assists…
Position Requirements
10+ Years work experience
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