解决方案架构经理 - 持续引入与优化
Manager, Solutions Architecture - Continuous Bringup and Optimization
NVIDIA 在过去 25 多年里一直在改变计算机图形、PC 游戏和加速计算。这是一段独特的创新历史,由伟大的技术和令人惊叹的人才所驱动。
NVIDIA 正在寻找一位 Solution Architecture 经理,领导 NVIDIA Infrastructure Specialist 团队,持续进行系统启动和优化。全球的学术和商业团体正在使用 NVIDIA 的产品重新定义深度学习和数据分析,并为数据中心提供动力。我们正在打造世界上许多最大、最快的 AI/HPC 系统!我们正在寻找一位能够在一个以客户为中心的动态团队中工作的人员,需要具备出色的沟通能力。该职位将与客户、合作伙伴和内部团队互动,分析、定义并实施大规模项目。这些工作的范围包括网络、系统设计和自动化,并作为客户的代表!
你将负责:
- 领导一个专注于为客户 AI 工厂基础设施提供咨询、优化和提升弹性的团队,确保高质量的服务和完美的运营。
- 主导对复杂 GPU 加速系统、AI 工作负载和数据中心环境的现场基础设施分析和调优,识别效率提升和运营改进的领域。
- 与内部团队(工程、产品、销售)和客户合作者紧密合作,使基础设施策略与业务目标保持一致,实现平滑、可扩展的 AI 部署。
- 作为 NVIDIA GPU、CPU 和网络技术的技术权威,支持客户讨论和架构评审。
- 建立并不断演进优化和监控方法,利用分析和工具检测瓶颈,减少停机时间,确保大规模系统的健康运行。
- 参与面向客户的活动,包括路线图会议、部署后评审和事件回顾,帮助塑造客户体验并影响 NVIDIA 的基础设施战略。
- 我们需要看到:
- 超过 4 年的团队管理经验,以及在大型数据中心中 8 年以上的服务运维经验,专注于基础设施性能。
- 计算机科学、工程或相关领域的学士、硕士或博士学位,且在数据中心、服务器和网络运维方面展现出技术领导力。
- 精通日语和英语,能够清晰地传达技术话题。
查看英文原文
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
NVIDIA is looking for a Manager of Solution Architecture to lead NVIDIA Infrastructure Specialist Team, Continuous bringup and optimization. Academic and commercial groups around the world are using NVIDIA products to redefine deep learning and data analytics, and to power data centers. We are building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer!
What you'll be doing:
- Lead a team dedicated to consulting, optimizing, and improving the resiliency of customer AI factory infrastructures, ensuring high service quality and operational perfection.
- Drive hands-on infrastructure analysis and tuning of complex GPU-accelerated systems, AI workloads, and datacenter environments, identifying areas for efficiency gains and operational improvements.
- Work closely with internal teams (Engineering, Product, Sales) and customer collaborators to align infrastructure strategies with business goals, enabling smooth, scalable AI deployments.
- Act as a technical authority on NVIDIA GPU, CPU and networking technologies, supporting customer discussions, architecture reviews.
- Establishing and evolving optimization and monitoring methodologies, using analytics and tooling to detect bottlenecks, reduce downtime, and ensure system health at scale.
- Participate in customer-facing engagements, including roadmap sessions, post-deployment reviews, and incident retrospectives, helping to craft the customer experience and influence NVIDIA’s infrastructure strategy.
What we need to see:
- Over 4 years leading teams and 8+ overall years in service operations in large data centers, focusing on infrastructure performance.
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field, with shown technical leadership in data center, server, and network operations.
- Proficiency in both Japanese and English, demonstrating clear communication of technical topics across multicultural teams and with customers.
- Deep expertise in data center architecture and operations, including servers, GPUs, NICs, networking topologies, storage systems, and Linux-based environments.
- Strong analytical, solving problems, and decision-making skills, capable of identifying root causes, driving continuous improvement, and delivering resilient technical solutions.
- Strong communication, time management, and organizational skills, along with experience in leading complex projects, guiding technical teams, and meeting important metrics.
Ways to stand out from the crowd:
- Deep familiarity with AI infrastructure and workflows, including training/inference pipelines, MLOps/DevOps tools, containerization (Docker, Kubernetes), and large-scale system deployments.
- Knowledge of data center infrastructure operations, including safety, security, environmental controls, and standard operating procedures.
- Strong interpersonal and collaboration skills, with the ability to lead discussions, influence outcomes, and build positive relationships with both internal and external collaborators.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
Originally posted on Himalayas