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1 day ago
This role involves spearheading the development and commercialization of an AI Runtime SDK on System-on-Chip devices. As an expert in AI inferencing, you will push the boundaries of performance from large models, utilizing your mastery in deploying large software stacks using best practices. You will stay at the forefront of Generative AI advancements, understanding Large Language Models (LLMs), Transformers, and edge-based GenAI deployment nuances. Your passion for the role of edge in AI's evolution will drive your work.
Key Responsibilities
- Develop and commercialize an AI Runtime SDK on System-on-Chip devices.
- Promote the use of AI inference engines to run neural network models on Snapdragon platforms at exceptional speeds while minimizing power consumption.
- Collaborate with cross-functional teams to integrate state-of-the-art GenAI models on Qualcomm chipsets.
Requirements
- Bachelor's degree in engineering, computer science, or a related field with 10+ years of Systems Engineering experience.
- Strong understanding of Generative AI models – LLM, LVM, LMMs, and building blocks (self-attention, cross attention, KV caching).
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
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