엔비디아(NVIDIA)

Solutions Architect, Pre-training and Post-training

5년 이상서울상시 채용

경력: 5년 이상
고용 형태: 정규직
마감: 상시 채용
지역: 서울서울특별시 영등포구 당산로41길 11 (당산동5가, 당산SK V1 center W1209호)
직군·직무: 개발데이터 사이언티스트, AI·머신러닝 엔지니어, 소프트웨어 엔지니어
출처: 원티드

이 공고에서 요구하는 AI 역량

AI 활용 필수

AI 관련 항목

주요 업무1곳
자격 요건1곳
우대 사항0곳

공고에서 찾은 문장

주요 업무
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.
자격 요건
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.

요구 경력

5년 이상

회사 소개

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.

주요 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.

자격 요건

• 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.

우대 사항

• 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.

혜택 및 복지

자세한 사항은 홈페이지 참조

회사 정보

엔비디아(NVIDIA)홈페이지

복지

인공지능

서울특별시 영등포구 당산로41길 11 (당산동5가, 당산SK V1 center W1209호)지도 보기