Senior Solutions Architect, AI Hyperscalers

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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 extraordinary technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. NVIDIA is searching for an AI/ML Solutions Architect focusing on Hyperscale customers and Cloud Service Providers. Your primary responsibilities will be to lead software customer technical engagement for AI training, inference and infrastructure being deployed at vast scale. You will work across multiple organizations within NVIDIA as well as at the customer to ensure successful and trouble-free deployments. If you would you like to partner with a large company to build automation and management to create a robust large scale artificial intelligence infrastructure and are interested in the optimization and characterization of customer specific AI models and pipelines - you should apply! What you’ll be doing: As a key technical member of a focused account team, you will serve as the main point of contact for NVIDIA products, enabling internet giants and cloud providers to have an innovative AI/ML software infrastructure. Work directly with best-in-class engineering teams to secure design wins, address challenges, bring solutions to production, and support them throughout their lifecycle. Become a trusted advisor to your customer by understanding their environment, constraints, and long-term strategy. Translate these insights into product requirements and innovative solutions. Help your customer enhance the value of NVIDIA technology, and provide feedback to NVIDIA for future product improvements. Facilitate the resolution of customer issues, offering timely and proactive communications to mitigate risks. Lead workshops, demos, and proof-of-concepts to showcase NVIDIA ’s AI/ML capabilities. Guide customers on standard processes for scalable AI model deployment and inference optimization. What we need to see: Minimum of a BS/MS in Computer Science, Electrical Engineering, or equivalent experience. 8+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions. Proven understanding of Linux, including solving, optimization, and customization for AI/ML workloads. Strong understanding of data science and machine learning infrastructure—software and hardware. Professional-level communication skills, including the ability to tailor messages for varying technical audiences and maintain composure in high-pressure situations. Excellent follow-up and interpersonal skills, with a true passion for problem-solving. Proficient in Python, with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is helpful. Shown eagerness to learn and apply new technologies. Ways to stand out from the crowd: Experience with Chatbots, RAG pipelines, vector databases, and distributed training or inference workloads. Experience or background in HPC (High Performance Computing) environments for AI or ML applications. Familiarity with multi-node GPU clusters and performance tuning for large-scale AI workloads. Experience developing in cloud and/or virtualized environments, containerized solutions, with knowledge of Docker, Kubernetes Background with common deep learning frameworks such as PyTorch or JAX. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we

NVIDIA 在超过 25 年的时间里一直在变革计算机图形、PC 游戏和加速计算。这是一份独特的创新传承，由非凡的技术和杰出的人才共同推动。如今，我们正在挖掘 AI 的无限潜力，以定义下一个计算时代。NVIDIA 正在寻找一位专注于超大规模客户和云服务提供商的 AI/ML 解决方案架构师。您的主要职责将是领导软件客户的技术对接，涵盖大规模部署的 AI 训练、推理和基础设施。您将与 NVIDIA 内部多个组织以及客户方协作，确保部署成功且无故障。如果您希望与一家大型公司合作，构建自动化和管理系统以打造稳健的大规模人工智能基础设施，并且对客户特定 AI 模型和管线的优化与表征感兴趣——那就应该申请！您将要做的工作：作为专注客户团队中的关键技术成员，您将担任 NVIDIA 产品的主要对接人，帮助互联网巨头和云提供商拥有创新的 AI/ML 软件基础设施。直接与一流的工程团队合作，赢得设计胜利、应对挑战、将解决方案推向生产，并在其整个生命周期中提供支持。通过了解客户的环境、约束和长期战略，成为他们值得信赖的顾问。将这些洞察转化为产品需求和创新解决方案。帮助客户提升 NVIDIA 技术的价值，并向 NVIDIA 提供反馈以促进未来产品改进。促进客户问题的解决，提供及时且主动的沟通以降低风险。主导研讨会、演示和概念验证，展示 NVIDIA 的 AI/ML 能力。指导客户遵循可扩展 AI 模型部署和推理优化的标准流程。我们需要看到的：计算机科学、电气工程或同等经验的学士/硕士学位。8 年以上工程经验，在以 AI/ML 为重点的项目或企业级解决方案方面有 proven track record。对 Linux 有扎实的理解，包括针对 AI/ML 工作负载的故障排除、优化和定制。对数据科学和机器学习基础设施——软件和硬件——有深入理解。专业级沟通能力，包括能够为不同技术受众量身定制信息，并在高压情况下保持镇定。出色的跟进和人际交往能力，对解决问题充满真正的热情。精通 Python，能够开发脚本和构建自定义工具。具备并行编程或 GPU 加速（例如 CUDA）经验者优先。展现出学习和应用新技术的强烈意愿。脱颖而出的方式：具备 Chatbots、RAG 管线、向量数据库以及分布式训练或推理工作负载的经验。具备面向 AI 或 ML 应用的 HPC（高性能计算）环境经验或背景。熟悉多节点 GPU 集群以及大规模 AI 工作负载的性能调优。具备在云和/或虚拟化环境、容器化解决方案中开发的经验，了解 Docker、Kubernetes。具备常见深度学习框架（如 PyTorch 或 JAX）的背景。您的基本工资将根据您的地点、经验以及类似职位员工的薪酬确定。Level 4 的基本工资范围为 184,000 美元 - 287,500 美元，Level 5 为 224,000 美元 - 356,500 美元。您还将有资格获得股权和福利。该职位的申请将至少接受至 2026 年 5 月 17 日。本职位发布针对现有空缺。NVIDIA 在招聘流程中使用 AI 工具。NVIDIA 致力于营造多元化的工作环境，并自豪地成为平等机会雇主。正如我们

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