AI Runtime Engineer for Embedded Applications
Qualcomm • markham, york region • Posted June 01, 2026
Position Overview
Lead the development of embedded AI solutions as a Machine Learning Engineer. Your expertise will empower state-of-the-art automotive systems for enhanced infotainment and driving experiences.
In this role, you will focus on mechanism design for ML runtime frameworks tailored for embedded systems. Collaborating across teams, you’ll optimize execution paths and maintain runtime kernel code. Your analytical skills will be key in employing profiling tools to enhance performance and enable deployment from popular ML frameworks onto sophisticated inference stacks.
Key Responsibilities:
• Design ML runtime framework components for embedded systems
• Write and maintain C++ code for system integration
• Collaborate for efficient execution paths in AI workloads
• Develop performance profiling tools for debugging
• Analyze runtime performance and improve execution efficiency
Requirements:
• 2+ years in optimization for em...
In this role, you will focus on mechanism design for ML runtime frameworks tailored for embedded systems. Collaborating across teams, you’ll optimize execution paths and maintain runtime kernel code. Your analytical skills will be key in employing profiling tools to enhance performance and enable deployment from popular ML frameworks onto sophisticated inference stacks.
Key Responsibilities:
• Design ML runtime framework components for embedded systems
• Write and maintain C++ code for system integration
• Collaborate for efficient execution paths in AI workloads
• Develop performance profiling tools for debugging
• Analyze runtime performance and improve execution efficiency
Requirements:
• 2+ years in optimization for em...