Machine Learning Engineer at Qualcomm
Nutanix
About the role
Elevate your career with Qualcomm as a Machine Learning Engineer focusing on embedded systems. Leverage your skills in C++ and AI model deployment to shape the future of automotive technology. In the Qualcomm Automotive AI Software team, we seek a talented engineer to develop embedded AI solutions for infotainment and ADAS/Autonomous Driving. This role requires solid experience in performance optimization, C++ programming, and embedded system design. You will be instrumental in delivering state-of-the-art AI models to millions of users, collaborating closely with hardware and model teams. Key Responsibilities: • Design core components for ML runtime frameworks • Collaborate on efficient execution paths for AI workloads • Develop C++ code for runtime and system integration • Analyze runtime behavior with profiling tools • Support model deployment from popular ML frameworks Requirements: • 2+ years in Hardware Engineering or related field • Strong in performance optimization for embedded systems • Proficient in C++ and system-level programming • Familiarity with Linux/Android/QNX development • Solid understanding of machine learning concepts Make a significant impact in automotive AI with Qualcomm's innovative projects. #J-18808-Ljbffr
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