Senior Machine Learning Engineer, embedded, C++

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. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. **Responsibilities:** - Spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. - Push the limits of performance from large Generative AI models. - Deploy large C/C++ software stacks using best practices. - Stay updated on GenAI advancements, understanding LLMs/Transformers and edge-based GenAI deployment. - Utilize power-efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds. **Requirements:** - Masters/Bachelors degree in computer science or equivalent. - 6+ years of relevant work experience in software development. - Strong understanding of Generative AI models LLM, LVM, LMMs and building blocks (self-attention, cross-attention, kv caching, etc.). - Knowledge of Floating-point, Fixed-point representations, and Quantization concepts. - Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). - Proficiency in C/C++ programming, Design Patterns, and OS concepts. - Good scripting skills in Python. - Excellent analytical and debugging skills. - Strong communication skills (verbal, presentation, written). - Ability to collaborate across a globally diverse team and multiple interests. 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. Qualcomm expects its employees to abide by all applicable policies and procedures, including security and other requirements regarding the protection of Company confidential information and other proprietary information, to the extent those requirements are permissible under applicable law. 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. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. **Responsibilities:** - Spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. - Push the limits of performance from large Generative AI models. - Deploy large C/C++ software stacks using best practices. - Stay updated on GenAI advancements, understanding LLMs/Transformers and edge-based GenAI deployment. - Utilize power-efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds. **Requirements:** - Masters/Bachelors degree in computer science or equivalent. - 6+ years of relevant work experience in software development. - Strong understanding of Generative AI models LLM, LVM, LMMs and building blocks (self-attention, cross-attention, kv caching, etc.). - Knowledge of Floating-point, Fixed-point representations, and Quantization concepts. - Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). - Proficiency in C/C++ programming, Design Patterns, and OS concepts. - Good scripting skills in Python. - Excellent analytical and debugging skills. - Strong communication skills (verbal, presentation, written). - Ability to collaborate across a globally diverse team and multiple interests. 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. Qualcomm expects its employees to abide by all applicable policies and procedures, including security and other requirements regarding the protection of Company confidential information and other proprietary information, to the extent those requirements are permissible under applicable law.