Staff Embedded Machine Learning Engineer

Qualcomm; Markham; On-site; CAD 131,000 - 182,000; Full time

Job summary

A leading technology company is looking for a Machine Learning software engineer to enhance its automotive AI solutions. This role involves designing embedded AI systems and optimizing performance for millions of users. The ideal candidate will have strong C/C++ skills and experience with embedded systems, as well as knowledge of machine learning frameworks. A competitive salary is offered along with a robust benefits package.

Benefits

Competitive salary

Annual discretionary bonus program

Opportunity for RSU grants

Qualifications

• Strong experience in performance optimization for embedded systems.
• Expertise in C/C++ programming and system-level development.
• Solid understanding of embedded system architecture.

Responsibilities

• Design and implement ML runtime components for embedded systems.
• Collaborate with teams to optimize AI workloads.
• Develop C/C++ code for runtime kernels.

Skills

Performance optimization for embedded systems

C/C++ programming

Embedded system design

Linux development

Machine learning concepts

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

PhD in Computer Science or related field

Tools

Onnx

TensorFlow

PyTorch

Job description

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. 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.
• 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.

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/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, 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 in C/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.

Equal Opportunity & Accommodations

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. To request accommodations, email [e-mail].

Pay range and Other Compensation & Benefits

$131,200.00 - $181,200.00

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. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

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