BRIDGELYT · RESEARCH & OPPORTUNITIES
NVIDIA Solutions Architect, Pre-training and Post-training
NVIDIA Solutions Architect, Pre-training and Post-training — Korea, Seoul · Full time. 담당 업무·지원 자격·마감일과 공식 지원 링크를 확인하세요.
진행·예정 · 출처에서 확인한 정보이며 최종 조건은 공식 원문을 확인하세요.
한 줄 요약
NVIDIA Solutions Architect, Pre-training and Post-training — NVIDIA · Korea, Seoul · Full time. 현재 상태: 진행·예정.
정보 갱신일 2026-10-21
조건·일정 확인
- 기관·대학
- NVIDIA
- 지역·근무지
- Korea, Seoul
- 고용 형태
- Full time
- 학력
- 석사 이상
담당 업무
- 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.
- 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.
- 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.
관련 정보
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Collaborating closely with key application developers to understand and address their current and future challenges. Developing and optimizing core parallel algorithms and data...
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