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A leading technology innovator in Pakistan is seeking a Software Engineer to develop cutting-edge software solutions, focusing on Generative AI. The ideal candidate will have significant experience in C/C++ programming and a strong understanding of AI models. This role involves collaboration across diverse teams to deliver efficient, high-performance products for the future of technology.
Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering
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.
Join the exciting Generative AI 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 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!
In 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'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll 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's evolution will be your driving force.
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