Automotive Embedded Machine Learning Engineer Role

Drive the future of automotive AI with Qualcomm as an Embedded Machine Learning Engineer. Develop innovative solutions that enhance automotive infotainment and autonomous driving capabilities. At Qualcomm Canada ULC, we are expanding our Automotive AI Software team and looking for a driven engineer with embedded experience. You will design and implement key ML components while collaborating with diverse technical teams to optimize AI workloads. Your C++ skills will be critical in crafting efficient runtime environments for our advanced AI models. Key Responsibilities:

• Implement core components of the ML inference framework
• Work with teams to design execution paths for AI tasks
• Develop C++ code for integration and optimization
• Create performance profiling tools for quantized models
• Analyze runtime performance using specialized tools

Requirements:

• Bachelor's degree and 2+ years of related experience
• Proficient in C++ with a focus on systems programming
• Familiarity with embedded system architecture
• Experience with Linux, Android, or QNX systems
• Knowledge of AI concepts and model optimization techniques

Contribute your skills in embedded systems and ML to advance Qualcomm’s innovative automotive solutions. #J-18808-Ljbffr