Solutions Architect, Pre-training and Post-training

Responsibilities

• Create fruitful technical engagements with AI development teams in frontier model makers in Korea and lead strategic relationships with top developers and influential researchers.
• Help them develop AI models more efficiently by proposing state-of-the-art training and optimization frameworks including Megatron-LM, Megatron-Bridge, NeMo-RL, NeMo-Gym, TensorRT Model Optimizer, and TensorRT-LLM.
• Promote the results of the collaboration between NVIDIA and those teams with the support of marketing teams by publishing press releases and celebrate together by presenting them at GTC.
• Continuously keep up with the latest AI training and optimization technologies that not only NVIDIA but also the community researchers provide to the market.
• What We Need To See
• 5+ years of hands-on experience in full AI model lifecycle, including pre-training, supervised fine-tuning, post-training such as reinforcement learning, optimization, and evaluation.
• Strong software engineering skills, including debugging, performance analysis, and test development.
• World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
• MS/PhD in Computer Science or Engineering or equivalent experience.
• Ways To Stand Out From The Crowd

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