Nvidia

Solutions Architect, Pre-training and Post-training

Nvidia
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17 hours ago
Seoul, Korea, SouthSenior

Responsibilities

  • Create technical engagements and lead strategic relationships with AI development teams, frontier model makers, developers, and researchers in Korea.
  • Advise customers on AI model pre-training, supervised fine-tuning, reinforcement learning, optimization, and evaluation.
  • Propose state-of-the-art training and optimization frameworks, including Megatron-LM, Megatron-Bridge, NeMo-RL, NeMo-Gym, TensorRT Model Optimizer, and TensorRT-LLM.
  • Help customers customize and deploy AI workloads at scale using the NVIDIA platform.
  • Provide technical expertise and developer support, including debugging, performance analysis, and test development.
  • Communicate collaboration results through press releases and presentations at GTC.
  • Track emerging AI training and optimization technologies and contribute to NVIDIA product strategy.

Requirements

  • At least 5 years of hands-on experience across the full AI model lifecycle, including pre-training, supervised fine-tuning, post-training, reinforcement learning, optimization, and evaluation.
  • Strong software engineering skills in debugging, performance analysis, and test development.
  • World-class communication skills and the ability to articulate value propositions to technical and non-technical audiences.
  • MS or PhD in Computer Science or Engineering, or equivalent experience.
  • Excellent English communication skills are preferred.
  • Understanding of infrastructure factors affecting AI model development, including GPU architecture, server block diagrams, and networking bandwidth between GPU servers and shared storage is preferred.

Categories

Solutions Engineering
Nvidia

About Nvidia

10,000+ employees

Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.

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