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Engineer- Embedded,c++ AI/ML

icon building Company : Qualcomm
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Job Description - Engineer- Embedded,c++ AI/ML

## \nCompany:\n\nQualcomm India Private Limited\n\n## Job Area:\n\nEngineering Group, Engineering Group \u003e Software Engineering\n\nGeneral Summary:\n\nAs a leading technology innovator, Qualcomm pushes the boundaries of what\u0027s 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.\n\nMinimum Qualifications:\n\n\u2022 Bachelor\u0027s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. \nOR \nMaster\u0027s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. \nOR \nPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. \n \n\u2022 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.\n\nJoin the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips\u2019 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 variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds! \n \nResponsibilities: \nIn this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you\u0027ll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You\u0027ll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI\u0027s evolution will be your driving force.\n\nRequirements:\n\nMaster\u2019s/Bachelor\u2019s degree in computer science or equivalent. \n3+ years of relevant work experience in software development. \nStrong understanding of Generative AI models \u2013 LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.)\n\nFloating-point, Fixed-point representations and Quantization concepts.\n\nExperience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). \nStrong in C/C++ programming, Design Patterns and OS concepts. \nGood scripting skills in Python. \nExcellent analytical and debugging skills.\n\nGood communication skills (verbal, presentation, written).\n\nAbility to collaborate across a globally diverse team and multiple interests.\n\nPreferred Qualifications\n\n\u00b7 Strong understanding of SIMD processor architecture and system design.\n\n\u00b7 Proficiency in object-oriented software development and familiarity\n\n\u00b7 Familiarity with Linux and Windows environment\n\n\u00b7 Strong background in kernel development for SIMD architectures.\n\n\u00b7 Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.\n\n\u00b7 Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.\n\n\u00b7 Experience with parallel computing systems and languages like OpenCL and CUDA is a plus.\n\nApplicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm\u0027s toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).\n\nQualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.\n\nTo all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.\n\nIf you would like more information about this role, please contact Qualcomm Careers.\n
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