Qu
Posted:
June 04, 2026
Location:
markham, york region, Canada
Job Description
Elevate embedded AI solutions as a Senior Engineer in Machine Learning. Focus on delivering cutting-edge models for automotive infotainment and advanced driver-assistance systems.
Your role encompasses designing and implementing the core ML runtime framework tailored for embedded systems. Collaborate with compiler and model teams to create efficient executions and innovate in performance optimization. The perfect blend of technical skills and creativity will enable you to support a seamless AI experience for a vast user base.
Key Responsibilities:
• Implement core components of the ML framework
• Engage with teams for improved AI workloads
• Maintain C++ code for runtime systems
• Develop performance profiling and debugging tools
• Enhance runtime behavior using profiling tools
Requirements:
• 2+ years of experience in embedded system optimization
• Advanced knowledge of C++ programming
• Familiar with Linux/Android/QNX software tools
• Proficient in...
Your role encompasses designing and implementing the core ML runtime framework tailored for embedded systems. Collaborate with compiler and model teams to create efficient executions and innovate in performance optimization. The perfect blend of technical skills and creativity will enable you to support a seamless AI experience for a vast user base.
Key Responsibilities:
• Implement core components of the ML framework
• Engage with teams for improved AI workloads
• Maintain C++ code for runtime systems
• Develop performance profiling and debugging tools
• Enhance runtime behavior using profiling tools
Requirements:
• 2+ years of experience in embedded system optimization
• Advanced knowledge of C++ programming
• Familiar with Linux/Android/QNX software tools
• Proficient in...
Apply for this Job
Submit your application for the Senior Engineer in Embedded Machine Learning position at Qualcomm.
Apply Now Save for LaterJob Overview
Job Type:
Full-time
Location:
markham, Canada
Posted:
June 04, 2026
Deadline:
July 14, 2026