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1 day ago
**Role Summary:**
We are seeking a highly skilled and experienced AI inferencing expert to spearhead the development and commercialization of a cutting-edge AI Runtime SDK. This individual will be responsible for pushing performance boundaries with large models, staying abreast of GenAI advancements, and driving the work forward with a passion for the role of edge in AI's evolution.
Responsibilities:
The selected candidate will lead the development and deployment of large C/C++ software stacks using best practices, leveraging expertise in deploying large LLMs/Transformers and edge-based GenAI deployment. Additionally, they will collaborate with a globally diverse team, managing tasks independently and ensuring excellent communication and presentation skills.
Requirements:
- Strong grasp of Generative AI models – LLM, LVM, LMMs, and building blocks (self-attention, cross attention, KV caching etc.).
- Floating-point, Fixed-point representations, and Quantization concepts.
- Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
- Hands-on experience in C/C++ programming, Design Patterns, and OS concepts.
- Excellent analytical and debugging skills.
- Exposure to shell scripts, Python scripts, Linux/Windows systems, and automation scripts/environment.
- Good communication skills, presentation skills, and ability to manage tasks independently.
- Collaboration across a globally diverse team and multiple interests.
Preferred Qualifications:
- Strong understanding of SIMD processor architecture and system design.
- Proficiency in object-oriented software development and familiarity.
- Familiarity with Linux and Windows environment.
- 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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