# Solutions Architect, Pre-training and Post-training

**Company**: NVIDIA
**Location**: Seoul
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: Competitive salary and benefits package
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Korea-Seoul/Solutions-Architect--Post-Training_JR2010147?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_20baa008-7ef

## Description

At NVIDIA, we're solving the world's most challenging problems with our unique approach to accelerated computing. As a Solutions Architect, you will help researchers and developers accelerate their key workloads by using NVIDIA's platform. You'll define and deliver strategic partnerships, lead fruitful technical collaborations, provide first-line technical expertise and developer support, and guide NVIDIA's product strategy.

If you are passionate about AI and how it can be applied to address real-world problems, we should talk. As a member of the Solution Architect team, you will work closely with customers and partners to solve hard problems in customizing and deploying AI workloads at scale.

**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.

**Requirements:**

- 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.

**Benefits:**

- Excellent English communication skills

- Understanding of infrastructure factors that can affect AI model development such as GPU architecture, server block diagram, or networking bandwidth among GPU servers or between GPU servers and shared storage.

## Skills

### Required
- AI model lifecycle
- pre-training
- supervised fine-tuning
- post-training
- reinforcement learning
- optimization
- evaluation
- software engineering
- debugging
- performance analysis
- test development
- world-class communication skills
- value proposition
- GPU architecture
- server block diagram
- networking bandwidth

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Korea-Seoul/Solutions-Architect--Post-Training_JR2010147?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)