Embedded Machine Learning Engineer (up to Sr)

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 automotive 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 best‑of‑class.

Required Skills & Experience

• Strong hands‑on experience in performance optimization for embedded or low‑power systems.
• Excellent 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, or QNX development environments and toolchains.
• Familiarity with computer architecture, especially for AI accelerators or DSPs.
• Solid knowledge of machine learning concepts and model structures.
• Optimizing 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 2+ years of relevant work experience.
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of relevant work experience.
• PhD in Computer Science, Engineering, Information Systems, or related field.

Pay Range and Other Compensation & Benefits

Pay range: $114,400 - $164,400. Competitive annual discretionary bonus program and RSU grants available. Benefits package supports success at work, at home, and at play.

Equal Opportunity Employer

Applicants: Qualcomm is an equal opportunity employer.

Accommodations for Persons with Disabilities

Qualcomm is committed to providing an accessible process. Contact View email address on click.appcast.io or Qualcomm’s toll‑free number for reasonable accommodations.