Join Qualcomm Canada ULC as a seasoned Embedded Machine Learning Engineer. This role focuses on optimizing AI solutions for infotainment and ADAS systems, enhancing the driving experience. As part of Qualcomm's Automotive AI Software team, you will develop advanced AI models for embedded platforms.

You will be responsible for implementing core components, collaborating with hardware teams, and ensuring efficient execution paths for AI workloads. This position is ideal for engineers with robust skills in C++, embedded systems, and performance optimization. Key Responsibilities:

- Design core components of ML runtime for embedded systems
- Collaborate on efficient paths for AI workloads
- Develop C++ code for system-level integration
- Analyze runtime performance using profiling tools
- Deploy models from popular ML frameworks onto Qualcomm’s stack Requirements:
- Bachelor's in a related field and 4+ years’ experience
- Proficient in C++ and embedded system design
- Familiar with Linux/Android/QNX development
- Knowledge of computer architecture for AI solutions
- Experience optimizing algorithms for hardware cores Elevate your career by deploying innovative embedded AI solutions at Qualcomm.

📌 Embedded Machine Learning Engineer at Qualcomm (Montreal)
🏢 Qualcomm
📍 Montreal