Staff Embedded Machine Learning Engineer Canada - Remote, Canada Machine Learning Engineering Posted a day ago

Qualcomm; Canada; Hybrid; CAD 110,000 - 140,000; Full time

Job summary

Qualcomm Canada ULC is seeking a Machine Learning software engineer with embedded experience to design and implement core ML runtime components for inference on embedded platforms. You will collaborate with compiler, hardware, and model teams to optimize AI workloads and develop C++ runtime kernels for system integration.

The role requires strong C++ programming, embedded systems knowledge, and experience with Linux/Android/QNX environments.

Qualifications

• Degrees with 2+ years (PhD) / 3+ years (Master) / 4+ years (Bachelor) in relevant field.
• Strong in embedded software and HW/SW interaction.
• Experience with ML runtime on embedded platforms is a plus.

Responsibilities

• Design and implement core ML runtime components for inference on embedded systems.
• Collaborate with compiler, hardware, and model teams to optimize AI workloads.
• Develop and maintain C++ code for runtime kernels and system integration.
• Create performance profiling and debugging tools for quantized models.
• Analyze runtime behavior using hardware counters and profiling tools.
• Support deployment of models from ML frameworks onto Qualcomm's stack.
• Drive innovations to maintain best-in-class solutions.

Skills

Performance optimization

C++ programming

Embedded systems

Linux/Android/QNX

AI accelerators

Education

Bachelor's degree in CS/Engineering

Master's degree in CS/Engineering

PhD in CS/Engineering

Tools

Linux

QNX

Job description

Company:

Qualcomm Canada ULC

Job Area:

Engineering Group, Engineering Group > Machine Learning Engineering

We are seeking a Machine Learning software engineer with embedded experience.

Qualcomm Automotive AI Software team is rapidly expanding to offer optimized solutions for infotainment and ADAS/Autonomous Driving. To scale and strengthen our offering in this domain, we are looking for a talented engineer to develop and deliver novel embedded AI solutions to enable state-of-the-art AI models on auto platforms for millions of end users. New Headcount.

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. OR 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. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Key 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++ code for runtime kernels and system-level integration.
• Develop tools to assist with performance profiling and debugging of quantized model accuracy
• Analyze and improve runtime behavior using profiling tools and hardware counters.
• Support deployment of models from popular ML frameworks (e.g., Onnx, TensorFlow, PyTorch) onto Qualcomm’s inference stack.
• Challenging the status quo and driving innovations to be the best-of-class.

Required Skills & Experience:

• Strong hands-on experience in performance optimization for embedded or low-power systems.
• Excellent in C++ programming, with a focus on system-level and runtime development.
• Solid understanding of embedded system design, including memory hierarchy and hardware-software interaction.
• Experience with Linux/Android/QNX development environments and toolchains.
• Familiarity with computer architecture, especially for AI accelerators or DSPs.
• Solid knowledge of machine learning concepts and model structures.
• Optimization of algebraic operations in algorithms for HW cores.
• Knowledge on deep learning and popular frameworks is an asset.

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 [e-mail] or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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