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Engineer, AI/Machine Learning

Qualcomm
June 05, 2026
Full-time
On-site
Markham, Ontario, Canada
$99,500 - $149,300 CAD yearly
Other Semiconductor Jobs, Level - Mid-Career

Job Title

Engineer, AI/Machine Learning

Role Summary

Design and implement embedded machine learning software, compilers, kernels, and runtimes to run neural network models efficiently on Qualcomm hardware. Work with cross-functional teams, including AI processor hardware engineers, to deliver SDKs, tools, and high-performance implementations for mobile, edge, automotive and IoT products.

Experience Level

Mid-level. No specific years of experience are stated in the posting.

Responsibilities

Primary responsibilities include developing embedded ML software and optimizing performance and power for on-device inference.

  • Develop end-to-end embedded AI software stack to run neural network models on Qualcomm hardware with optimal resource usage.
  • Design and enhance ML/AI compilers, kernels, and runtime software to improve performance and power efficiency.
  • Collaborate with AI processor hardware team to implement new ML operators and leverage next-generation hardware capabilities.
  • Develop debugging and profiling tools and deliver user-friendly SDKs for customers to deploy use cases rapidly.
  • Drive engineering improvements and performance optimizations for production deployment.

Requirements

Key technical skills and experience required or strongly preferred.

  • Must-have: Strong low-level C/C++ programming ability.
  • Must-have: Solid software design, development, and debugging skills.
  • Must-have: Experience with Linux, Android, or embedded software development.
  • Must-have: Experience optimizing algebraic operations or algorithms for hardware cores and improving runtime performance.
  • Nice-to-have: Experience in compiler, CPU, or GPU design and development.
  • Nice-to-have: Familiarity with deep learning concepts and popular frameworks.
  • Nice-to-have: Experience developing profiling/debugging tools or SDKs for ML deployment.

Education Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (as stated in the posting).


About the Company

Company: Qualcomm

Headquarters: San Diego, California, United States

Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.

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Date Posted: 2026-06-05