MaaS Compute Resource Operations Expert/Engineer

1. Resource Planning and Supply Strategy: Based on MaaS business development, model evolution, and resource utilization, forecast GPU compute service demand; formulate resource portfolio, supply scale, and delivery plans; and balance cost, efficiency, and supply stability.

2. Procurement Collaboration and Delivery Assurance: Participate in GPU compute service procurement; collaborate with procurement and technical teams to define resource specifications, service standards, and acceptance requirements; assess supplier delivery capabilities; and follow up on resource arrival, service launch, and issue closure.

3. Supply Security and Risk Management: Track market supply and demand, supplier capacity, and geopolitical compliance risks; develop multi-supplier and cross-region resource assurance plans; reasonably arrange capacity reservations and resource reserves; and reduce the risks of supply interruption and resource idling.

4. Technical Collaboration and End-to-End Acceptance: Collaborate with technical teams to complete GPU selection and evaluation of supporting solutions for data centers, networks, and storage; follow up end-to-end on resource delivery, performance testing, and acceptance; and ensure compliance with model deployment and inference service requirements.

1. 10+ years of experience in large-scale IT infrastructure, compute resource delivery/sourcing/supply chain management, with a complete project track record in resource planning, procurement collaboration, and delivery management. (Must)

2. Proficient business English; able to independently conduct overseas supplier communication, business discussions, and review English materials. (Must)

3. Familiar with the GPU market supply landscape; understand the supplier and channel systems related to mainstream products such as NVIDIA and AMD; able to assess resource availability, delivery lead times, and supply risks. (Must)

4. Familiar with infrastructure such as GPU servers, data centers, networks, and storage; understand the deployment conditions, delivery processes, and acceptance standards of large-scale compute clusters.

5. Understand large-model deployment and inference services; understand token metering, billing methods, and key metrics such as throughput, latency, and concurrency; able to translate business requirements into resource and cost estimates.

6. Strong capabilities in data analysis, cost modeling, and cross-team collaboration; able to coordinate business, technical, procurement, and supplier parties to drive project implementation.

7. Experience in compute resource operations, compute procurement, or large-scale GPU cluster delivery at cloud providers or leading large-model companies is preferred.

Cloud & Smart Industries Group (CSIG) is responsible for promoting the company’s cloud and industry Internet strategy. CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security. While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses., As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.