Machine Learning Engineer for Embedded AI

Take the next step in your career at Qualcomm as a Machine Learning Engineer specializing in embedded AI for infotainment and autonomous systems. This role emphasizes developing innovative and efficient solutions. Qualcomm seeks a skilled Machine Learning Engineer with embedded experience to advance its AI initiatives. This role focuses on designing runtime framework components, fine-tuning performance optimizations, and collaborating with interdisciplinary teams. You will also play a key role in integrating models from major ML frameworks onto embedded platforms. Key Responsibilities: • Design and implement ML runtime components for embedded systems • Collaborate with teams to optimize AI execution • Develop C++ code for system-level applications • Create tools for profiling quantized model performance • Analyze runtime behavior for improvements Requirements: • Minimum 1 year of experience with ML and embedded systems • Strong C++ programming capabilities • Understanding of embedded system design elements • Knowledge of development environments like Linux/Android/QNX • Experience with deep learning frameworks preferred Utilize your embedded systems expertise to help Qualcomm innovate in the AI landscape. #J-18808-Ljbffr