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Tencent Holdings · Shenzhen

# 腾讯云-Maas算力资源运营专家

Shenzhen 

Listed on Tencent Holdings’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2092868382587273216)

[OpenNash Jobs](https://jobs.opennash.com/) / [Tencent Holdings](https://jobs.opennash.com/companies/tencent-holdings/) / 腾讯云-Maas算力资源运营专家

## Job description

### Responsibilities
- 结合MaaS业务发展、模型演进和资源使用情况，预测GPU算力及Token服务需求，制定自建与外采的资源组合、供给规模和交付计划，平衡成本、效率与供应稳定性；
- 参与GPU算力及Token服务采购，协同采购、技术团队明确资源规格、服务标准和验收要求，评估供应商交付能力，跟进资源到位、服务上线及问题闭环；
- 跟踪市场供需、供应商产能及地缘合规风险，制定多供应商、跨区域的资源保障方案，合理安排容量预留和资源储备，降低供应中断与资源闲置风险；
- 与技术团队协同完成 GPU 选型及机房、网络、存储配套方案评估，端到端跟进资源交付、性能测试和验收，确保满足模型部署及推理服务要求。 Requirements 1.本科及以上学历，通信、计算机、半导体、电子类相关专业； 2.10年以上大规模IT基础设施、算力资源交付或供应链管理经验，具备资源规划、采购协同及交付管理的完整项目经验（必须）； 3.商务英语熟练，能够独立开展海外供应商沟通、商务交流及英文资料审阅（必须）； 4.熟悉GPU市场供给格局，了解国内外主流产品、国产算力方案及相关供应商和渠道体系，能够判断资源可获得性、交付周期与供应风险； 5.熟悉GPU服务器、数据中心、网络及存储等基础设施，理解大规模算力集群的部署条件、交付流程和验收标准； 6.了解大模型部署与推理服务，理解Token计量、计费方式及吞吐、时延、并发等关键指标，能够将业务需求转化为资源和成本测算； 7.具备较强的数据分析、成本建模和跨团队协同能力，能够协调业务、技术、采购及供应商推动项目落地； 8.有云厂商或头部大模型公司的算力资源运营、算力采购或大规模GPU集群交付经验者优先。

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 12, 2026
- Last checked: Oct 19, 2026
- Listed for: 7 days
- Location: Shenzhen[Apply on Tencent Holdings’s careers site →](https://careers.tencent.com/en-us/jobdesc.html?postId=2092868382587273216)

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