Staff Engineer-C++ , Embedded, AI/ML, GenAI,edge aing

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.

Job Area: Engineering Group, Software Engineering

• Bachelors degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
• Masters degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
• 3+ years of work experience with programming languages such as C, C++, Java, Python, etc.

• These positions are strictly for ML Edge AI inference SDK development on embedded systems not Applied AI, Data Science, or ML model training roles.
• Strong hands-on C++ experience is mandatory.
• Python alone is not acceptable, and C is not sufficient.
• Job location: Hyderabad only, 5 days onsite in office. These roles are not open for Bangalore/Pune/remote. Candidates must be willing to relocate.

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. 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.