Embedded Machine Learning Engineer

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 automotive platforms for millions of end users.

New Headcount.

• 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.

• 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 behaviour using profiling tools and hardware counters.
• Support deployment of models from popular ML frameworks (e.g., ONNX, Tensor Flow, PyTorch) onto Qualcomm’s inference stack.
• Challenge the status quo and drive innovations to be the best‑of‑class.

• Strong hands‑on experience in performance optimisation for embedded or low‑power systems.
• Excellent C++ programming skills 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 tool chains.
• Familiarity with computer architecture, especially for AI accelerators or DSPs.
• Solid knowledge of machine‑learning concepts and model structures.
• Optimisation of algebraic operations in algorithms for hardware cores.
• Knowledge of deep learning and popular frameworks is an asset.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email disabili or call the toll‑free number listed on the Careers site. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities in the hiring process.

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The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Salary is only one component of total compensation  also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants. In addition, our highly competitive benefits package supports your success at work, at home, and at play.

If you would like more information about this role, please contact Qualcomm Careers.