Role at a glance
- Job function
-
AI & Data Data Science Machine Learning Engineering
- Salary
- Not Disclosed
- Location
- Seoul, South Korea
- Employment
- Full-time
- Experience
- Senior Level 5+ years
- Education
- PhD
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We’ll check it against the original posting.
Qualifications
Required
- 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.
Preferred
- 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.
About the role
Original posting provided by 엔비디아(NVIDIA)
About the role
At NVIDIA, we're solving the world's most challenging problems with our unique approach to accelerated computing. We're looking for passionate technologists with software and hardware. In this Solutions Architect role, you will help researchers and developers accelerating their key workloads by using NVIDIA 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.
What you'll do
• 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.
Preferred qualifications
• 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.
Benefits
자세한 사항은 홈페이지 참조
About the company
엔비디아(NVIDIA)
고성능 GPU와 병렬 컴퓨팅 아키텍처를 기반으로 인공지능 연산과 그래픽 가속화를 이끄는 글로벌 반도체 기술 기업입니다. 딥러닝과 데이터 센터, 자율주행 기술의 연산 인프라를 독점적으로 제공하며 인공지능 시대의 핵심 동력이 되는 기술 표준을 정립해 나가고 있습니다.