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. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Master's/Bachelor's degree in computer science or equivalent. 2-4 years of relevant work experience in software development. Good understanding of Generative AI models - LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Experience with optimizing algorithms for AI hardware accelerators Strong in C/C++ programming, Design Patterns and OS concepts. Ability to collaborate across a globally diverse team and multiple interests. Strong understanding of SIMD processor architecture and system design. Proficiency in object-oriented software development and familiarity Strong background in kernel development for SIMD architectures. Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus. Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred. Experience with parallel computing systems and languages like OpenCL and CUDA is a plus.
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