What are the responsibilities and job description for the GPU Cloud Solution Architect position at GMI Cloud?
Job Title: GPU Cloud Solution Architect
About the Role:
As a GPU Solution Architect, you will be responsible for designing and implementing GPU-based cloud solutions, helping clients solve complex problems in AI, deep learning, image processing, and other High-Performance Computing (HPC) fields. You will work closely with clients' technical teams to deeply understand their business needs, provide expert architectural design and technical support, ensuring the efficient execution and successful deployment of solutions.
Key Responsibilities:
- Technical Consulting: Gain a deep understanding of client requirements in areas such as artificial intelligence, deep learning, and data processing. Provide professional GPU cloud computing technical consulting services, assisting clients in selecting optimal cloud computing architectures.
- Solution Design & Optimization: Based on the company's existing GPU cloud computing resources, design optimal architectural solutions for clients. This includes, but is not limited to, optimizing configurations for virtual machines, containerized services, storage, and networks, to meet client requirements for performance, scalability, and stability.
- Project Management: Manage the entire project lifecycle, from requirements analysis and solution design to project implementation, ensuring projects are delivered on time, meet client needs, and involve close collaboration with relevant teams.
- Technical Demonstrations & Support: Demonstrate the advantages of GPU cloud computing solutions to clients, answer their questions regarding architectural design and implementation, and provide timely technical support.
- Product R&D Support: Based on market demand and client feedback, assist the product research and development team in optimizing and innovating existing GPU cloud products, driving the development and launch of new features.
- Cutting-Edge Technology Tracking: Stay informed about and research cutting-edge technologies in AI, deep learning, HPC, and other related fields. Participate in industry events and conferences to maintain technical leadership and continuously enhance personal technical proficiency.
Requirements:
- Educational Background: Bachelor's degree or higher in Computer Science, Information Technology, or a related field. Master's or Ph.D. degree preferred.
- Professional Skills:
- Possess a solid foundation in cloud computing, familiar with mainstream cloud service platforms such as AWS, Alibaba Cloud, and Azure, with deep experience in the use of GPU cloud computing resources.
- Deep understanding of AI and deep learning application scenarios, familiar with mainstream AI frameworks (e.g., TensorFlow, PyTorch) and their optimization and operation on GPUs.
- Possess rich experience in architectural design and system optimization, capable of providing technical solutions for high-concurrency and high-performance business scenarios.
- Work Experience:
- Minimum of 5 years of experience in cloud computing-related work, with at least 3 years of experience in GPU architecture design and technical support. Project experience in AI or High-Performance Computing fields is preferred.
- Possess rich client management experience, capable of providing customized technical solutions based on client needs.
- Language Skills: Good command of both Chinese and English, with the ability to communicate effectively with clients and teams.
Preferred Qualifications:
- Project experience in the AI industry, particularly with GPU-based model training and inference.
- Experience in cross-departmental and cross-cultural collaboration, capable of effectively handling international projects.
