Senior Embedded ML Runtime Engineer — Low-Power AI

Qualcomm; Markham; On-site; CAD 85,000 - 115,000; Full time

Job summary

A leading technology firm in York Region, Markham is seeking a skilled Machine Learning Engineer to optimize AI models for low-power accelerators. You will design performance-critical components and collaborate with various teams to enhance system efficiency. Ideal candidates will have extensive experience in C/C++ and embedded systems. This role offers opportunities to impact AI applications directly while working with cutting-edge technology.

Qualifications

• Strong hands-on experience in performance optimization for embedded or low-power systems.
• Proficient in C/C++ programming, with a focus on system-level and runtime development.
• Solid understanding of embedded system design, including memory hierarchy and hardware-software interaction.

Responsibilities

• Design and implement core components of the ML runtime framework for inference on embedded systems.
• Collaborate with compiler, hardware, and model teams to co-design efficient execution paths for AI workloads.
• Develop and maintain C/C++ code for runtime kernels and system-level integration.

Skills

performance optimization

C/C++ programming

embedded system design

Linux/Android development

computer architecture

machine learning concepts

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Master's degree in Computer Science, Engineering, or related field

PhD in Computer Science, Engineering, Information Systems, or related field

Job description

A leading technology firm in York Region, Markham is seeking a skilled Machine Learning Engineer to optimize AI models for low-power accelerators. You will design performance-critical components and collaborate with various teams to enhance system efficiency. Ideal candidates will have extensive experience in C/C++ and embedded systems. This role offers opportunities to impact AI applications directly while working with cutting-edge technology.