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5G wireless technology · mobile processors and SoCs

Engineer, Staff-AI and Machine Learning with embedded/C++ (Secunderabad)

HyderabadPosted 1 month ago
Software engineeringStaff+Full Time; Regular
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Job Description Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4 years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3 years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2 years of Software Engineering or related work experience. - 2 years of work experience with Programming Language such as C, C , Java, Python, etc. - These positions are strictly for AI/ML inference SDK development on embedded systems not Applied AI, Data Science, or ML model training roles. - Robust Embedded experience is mandatory. - Job location: Hyderabad Team Join the exciting AI software team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips extensive heterogeneous computing capabilities to allow inference of GenAI models on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a v .

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