IP Network Engineer
KDDI株式会社
- Python
- AI
- Machine Learning
- Network
- automation
- CCNA
- Virtualization
- Network Infrastructure
- Network Technology
- Programming Language
- requirements definition
- verification
- network equipment
- Data center network
- Experience
- automation development
- High Reliability
- design and development
- GPU cluster
- AI Infrastructure
- Telecommunications
- CI/CD environment construction
- IP network
- RoCEv2
- high-performance computing
- Experience with 60 million customers
- Network and server automation
- KDDI Edogawabashi Corporation
- Clos network
- Dynamically programmed network
- High quality
- Server group
- Mobile field
- Ultra-low latency
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Tokyo
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Over 10,000
-
Company Homepage
Company Info
KDDI provides IoT and mobility services for individuals, promotes product quality improvement in collaboration with global partners, and provides an environment for realizing new challenges and growth. We are seeking a wide range of talent and will expand IoT business through the latest technology and ideas.Job Summary
Responsible for the design and development of AI infrastructure, and will be involved in the design and development of large-scale network infrastructure. Specialized network engineers who support the adoption of AI infrastructure are required to define, design, develop, evaluate, and automate AI infrastructure, and to achieve high-performance computing for handling large-scale delays and real-time processing in the mobile field. In addition, experience in designing network infrastructure for high availability, low latency, and wide area coverage is desirable.Duties
Responsible for the design and development of data center network infrastructure. Specifically, additional experience in the design and development of specialized network infrastructure for the adoption of AI infrastructure, as well as the definition, design, development, evaluation, and automation of AI infrastructure, is required. AI infrastructure requires a large amount of GPU resources for machine learning (ML), and the network infrastructure that supports it requires high reliability, ultra-low latency, and real-time processing in the mobile field. In addition, experience in designing network infrastructure for high availability, low latency, and wide area coverage is desirable.Login to see all information about offers.
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