Qualcomm Embedded Machine Learning Engineer

Join Qualcomm as an Embedded Machine Learning Engineer, focusing on developing AI solutions in the automotive sector. Leverage your skills to create advanced systems for infotainment and autonomous driving applications. The Qualcomm Automotive AI Software team needs an engineer with embedded software expertise. You will implement components of machine learning runtime frameworks, ensuring optimized performance for low-power environments. Essential skills include C++ proficiency, knowledge of embedded system design, and experience with Linux or Android environments. Key Responsibilities Implement ML runtime framework components for embedded systems Collaborate with hardware, compiler, and model teams Maintain and optimize C++ runtime kernel code Create debugging and profiling tools for AI models Assist in model deployment from ML frameworks Requirements Bachelor's degree with 4+ years in relevant engineering fields Strong system-level C++ development experience Solid understanding of memory hierarchy Familiarity with AI accelerators and DSPs Proven knowledge of machine learning concepts Drive innovation in embedded AI solutions with Qualcomm and make a significant difference in automotive technology. J-18808-Ljbffr