The core members possess over 10 years of extensive experience in IT infrastructure and IDC industry.
They have a strong track record of success in developing and implementing multi-regional supply chain strategies for globally leading hyperscale cloud providers..
They are proactive in staying up to date with industry trends and advancements, particularly in delivering high-performance computing infrastructure.
Our R&D capabilities cover HPC and AI clusters, Kubernetes (K8S), and AI infrastructure.
The core members all have over 10 years of experience in R&D.
75% of them come from leading intelligent computing service teams at prominent global cloud providers and carriers.
Over 10 years of operational experience, with extensive expertise in operating 10,000 GPU clusters.
Cross-layer problem-solving in hardware, K8S, and AI Frameworks.
24/7 support capabilities.
1. Responsible for driving the architecture design, key technology research, and development implementation of deep learning algorithm frameworks.
2. Perform deep optimizations tailored to business scenarios to enhance framework stability, usability, and improve model training efficiency.
3. Advance the integration of frameworks with AI platforms, establishing advanced training scheduling mechanisms, automated training frameworks, model evaluation systems, and inference optimization.
1. Bachelor's degree or higher in Computer Science, Electronics, Automation, or related fields.
2. Solid foundation in deep learning algorithms, proficient in common deep learning and machine learning algorithms, with the ability to innovate in algorithm research.
3. Proficiency in the underlying architecture and mechanisms of at least one deep learning training framework (such as PyTorch, TensorFlow, MxNet, Paddle), with expertise in PyTorch framework preferred.
4. Excellent programming skills, proficient in C++/Python.
5. Curiosity about cutting-edge technologies, capable of independently driving exploration and implementation of advanced technologies.
