Hiring for Enterprise (EBG), Carrier Networking (CNBG), Cloud, AIoT & Mobile Virtual Network Operator (MVNO) Opportunities
Job Responsibilities
- Responsible for the planning and construction of the intelligent computing platform product system, including computing scheduling platforms, integrated training / inference platforms, large model service platforms, etc.
- Conduct market and user demand analysis, design product roadmaps based on industry trends, and promote the continuous evolution of intelligent computing products.
- Design and optimize core capabilities such as resource scheduling, MaaS (Model-as-a-Service) platforms, and model development toolchains to improve user experience and resource utilization.
- Coordinate R&D, operation and maintenance, and business teams to ensure the full lifecycle implementation of products from design and development to delivery.
- Participate in overseas market expansion and localization adaptation to ensure that intelligent computing products comply with regional policies and customer needs.
- Connect with ecological partners (GPU / domestic chip vendors, AI framework providers, application developers) to promote product ecosystem construction.
- Responsible for product operation and commercial exploration, including resource sales models, computing billing, and large model value-added services.
Job Requirements
Bachelor's degree or above in Computer Science, Artificial Intelligence, Software Engineering, or related majors.Proficiency in English, capable of communicating with international customers and conducting international market research.Familiar with cloud computing, AI platforms, or large model-related product systems, with practical experience in product design and delivery.Understand core technologies such as Kubernetes, cloud-native, distributed computing, and heterogeneous GPU resource scheduling.Understand mainstream AI frameworks (TensorFlow, PyTorch) and large model inference and deployment solutions.Possess experience in full product lifecycle management (demand analysis, roadmap planning, delivery and launch, operation feedback).Experience in R&D of large-scale computing platforms, AI PaaS (Platform as a Service) products, or MaaS platforms is preferred.Possess cross-team coordination and commercial product exploration capabilities.Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Information Technology
Industries : Telecommunications
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