Staff Embedded Machine Learning Engineer (Open)

Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

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.

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.
• Challenge the status quo and drive 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 hardware cores.
• Knowledge of deep learning and popular frameworks is an asset.

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.
• 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.

Pay Range & Benefits

$131,200.00 – $181,200.00

Salary is one component of total compensation; additional bonuses, RSU grants, and competitive benefits are also provided.

EEO Statement

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. For disability accommodations, email View email address on ca.talent.com.