Company: Qualcomm Canada ULCJob Area: Engineering Group, Engineering Group > Machine Learning EngineeringGeneral SummaryWe are seeking a Machine Learning software engineer with embedded experience to join Qualcomm Automotive AI Software team, which is rapidly expanding to deliver optimized solutions for infotainment and ADAS/Autonomous Driving. The role involves developing and delivering novel embedded AI solutions to enable state‑of‑the‑art AI models on automotive platforms for millions of end users.Key ResponsibilitiesDesign 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.Challenge the status quo and drive innovations to become best‑of‑class.Required Skills & ExperienceSolid hands‑on experience in performance optimization for embedded or low‑power systems.Excellent C++ programming with a focus on system‑level and runtime development.Strong 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 of deep learning and popular frameworks is an asset.Minimum QualificationsBachelor'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.Pay & BenefitsPay range: $114,400.00 – $164,400.00. The scale reflects the broad minimum to maximum pay for this role. Additional compensation includes a competitive annual discretionary bonus program and opportunities for annual RSU grants. Benefits include a comprehensive package designed to support success at work, home, and play.Qualcomm is an equal‑chance employer.Qualcomm provides reasonable accommodations for individuals with disabilities.#J-18808-Ljbffr

📌 Sr Embedded Machine Learning Engineer (Markham) - $114,400 - $164,400 A Year (Winnipeg)
🏢 Qualcomm Canada
📍 Winnipeg