Senior Researcher in AI Hardware Efficiency

Drive innovation at the forefront of AI with a Senior Researcher role focusing on hardware-efficient foundational model training. Collaborate across teams to optimize performance in diverse applications.

The Computing Data Application Acceleration Lab seeks an expert to enhance model architecture for LLM, code, and multimodal fields. You will lead the design of efficient algorithms through breakthroughs in continuous training and deliver impactful solutions. Key responsibilities include defining infrastructure requirements for large-scale distributed training and analyzing AI hardware advancements.

Key Responsibilities:

• Lead design for foundational model architecture innovations

• Enhance algorithm performance and training efficiency

• Propose requirements for large-scale training infrastructures

• Analyze computational characteristics for typical architectures

• Collaborate with organizations to establish industry impact

Requirements:

• Experience training AI models with 10B+ parameters

• Proficiency in AI architecture and algorithms

• Command of AI frameworks like Py Torch

• Familiarity with GPU/NPU/TPU chip architecture

• PhD in AI/computer architecture preferred

Embrace the challenge to push the boundaries of AI hardware and model efficiency.
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