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The Sr. AI/LLM Infrastructure SW Engineer will architect solutions for AIOS, lead proof-of-concept developments, collaborate with engineering teams for high-quality implementations, and define the evolution roadmap for AIOS solutions. This role requires extensive experience in software design, specifically for AI models, and proficiency in programming languages such as C, C++, and Python.

As an LLM Algorithmic Optimization Engineer Intern, you will research and apply technologies to optimize Large Language Models (LLMs) for efficient inference and deployment across diverse hardware. The role involves collaboration with teams to integrate optimized models into automotive applications and covers the entire pipeline from research to deployment on GPUs and other systems.

The LLM Algorithmic Optimization Engineer will conduct research and implement optimization techniques for Large Language Models across heterogeneous architectures, ensuring efficient deployment in automotive applications. Responsibilities include model optimization, collaboration with cross-functional teams, and contributions from research to deployment using advanced hardware. A strong focus on GPU/NPU architecture is required, along with proficiency in AI tools.