서울 광화문역에서 최고의 cloud architect 채용공고 10개(지금 채용 중!)

Solutions Architect - AI Factory
NVIDIA —서울
- 정규직
Data Engineer
Ericsson —서울
Lakebase Sales Specialist
Databricks —서울
빠른 지원하기
Sr. Network Engineer
Penguin Solutions —성남 분당내곡로
Engagement Manager
MongoDB —서울
Specialist Solutions Architect
Databricks —서울
빠른 지원하기
Forward Deployed Engineer
Databricks —서울
빠른 지원하기
Delivery Solutions Architect
Databricks —서울
빠른 지원하기
[Coupang Pay] Director, Back-End Engineering
Coupang —서울
빠른 지원하기
Senior Staff, Back-end Engineer (Gateway Services)
Coupang —서울
빠른 지원하기

More jobs to discover

Find similar jobs that you might be interested in.

[Tech] IDC Architect - 데이터센터 설비 기획 및 운영 (전기/기계/소방/안전)
현대오토에버 —경기도 의왕
현대오토에버, 데이터센터 설비 운영 전문가 IDC Architect 경력직 채용 현대오토에버가 데이터센터 설비 기획 및 운영 분야의 IDC Architect 경력직 채용을 진행한다. 이번 채용은 전기·기계·소방·안전 등 데이터센터 기반시설 전반을 다루는 직무로, 현대차그룹의 디지털…
코벡엔지니어링 영업본부 기술영업팀 (냉동공조(CAD)설계, 기술영업) 신입 / 경력(팀장급)
코벡엔지니어링 —서울 금천구
ㆍ법적 /해외여행 결격사유 없는 자ㆍ기본적인 업무 이해 및 실행 능력 보유자 (주)코벡엔지니어링 영업본부 기술영업팀 (냉동공조(CAD)설계, 기술영업) 신입 / 경력(팀장급) 채용 #다수의 특허 #업력 23년차 #벤처기업 인증 (주)코벡엔지니어링은 2001년에 설립된 회사로 냉각탑과…

Show more similar jobs

서울 광화문역의 cloud architect에 대한 최신 취업소식을 받고 싶습니다.

계정에 로그인하면 SimplyHired의 서비스 이용약관과 쿠키 및 개인정보 취급방침에 동의하는 것입니다.

더 많은 지역의 채용공고 둘러보기

cloud architect jobs near 서울 광화문역

서울 지역 Solution Architect 채용공고

서울 지역 Engagement Manager 채용공고

서울 지역 Senior Network Engineer 채용공고

서울 종로구 지역 Solution Architect 채용공고

서울특별시 지역 Solution Architect 채용공고

서울 지역 Customer Success Manager 채용공고

서울 지역 Aws Architect 채용공고

서울 지역 Back End 개발 채용공고

하남 감일동 지역 Backend Developer 채용공고

서울 지역 React Developer 채용공고

서울 여의도역 지역 Data Engineer 채용공고

서울특별시 지역 Data Engineer 채용공고

서울 강남구 지역 Quality Assurance Specialist 채용공고

서울 삼성동 지역 It Specialist 채용공고

서울 지역 Devops Engineer 채용공고

서울특별시 지역 Fit Engineer 채용공고

Solutions Architect - AI Factory

NVIDIA -
서울

지금 지원하기

채용공고 세부정보

정규직

상세 직무 내용

NVIDIA is seeking an outstanding Solutions Architect for AI Factory to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our Solutions Architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts passionate about AI Factory. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA!

What you will be doing:

Maintain an up-to-date understanding of the philosophy, architecture, and deployment methods of various evolving NVIDIA Reference Architectures—e.g., NVIDIA DGX SuperPOD Reference Architecture, NVIDIA Cloud Partner Reference Design, and NVIDIA Enterprise Reference Architecture.
Analyze and understand the requirements of customer-initiated AI training or inference clusters.
Identify the NVIDIA Reference Architecture that best matches customer needs and effectively communicate its value proposition to collaborators.
Facilitate seamless communication between NVIDIA's internal deployment teams and customers during the implementation of AI clusters based on Reference Architectures.
Provide hands-on technical support to developers after the AI Factory has been deployed, ensuring that AI training and inference workloads run effectively on the infrastructure.

What we need to see:

Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.
Minimum of 7 years of hands-on experience designing, deploying, and operating AI training or inference clusters with sever, storage, and network, that leverage Kubernetes with NVIDIA GPUs.
Foundational knowledge and experience with networking technologies—such as InfiniBand and Ethernet—in AI cluster environments, including compute fabric interconnects between GPU servers, storage fabric integration, and out-of-band and in-band management fabrics.

Ways to stand out from the crowd:

Proficiency in key technologies including: Container Runtime Interface (CRI), Container Network Interface (CNI), Calico, NVIDIA GPU Operator, NVIDIA Network Operator, and Kubeflow Training Operator.
Knowledge and experience of facilities being used in building AI Factories, including cooling devices, power distribution, or plumbing.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

지금 지원하기

검색결과 새로고침

서울 광화문역 지역 채용공고 cloud architect건

Solutions Architect - AI Factory

Data Engineer

Lakebase Sales Specialist

Sr. Network Engineer

Engagement Manager

Specialist Solutions Architect

Forward Deployed Engineer

Delivery Solutions Architect

[Coupang Pay] Director, Back-End Engineering

Senior Staff, Back-end Engineer (Gateway Services)

More jobs to discover

서울 광화문역의 cloud architect에 대한 최신 취업소식을 받고 싶습니다.

더 많은 지역의 채용공고 둘러보기

구직자 도구

기업회원 도구

찾아보기

연결 상태 유지하기