Senior Solutions Architect, Generative AI Deployment and AIOps

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NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA , our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA ! What You Will Be Doing: Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions Analyzing performance and power efficiency of AI inference workloads on Kubernetes Some travel to conferences and customers may be required (20%) What We Need To See: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow Strong fundamentals in programming, optimizations, and software design, especially in Python Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments Excellent knowledge of the theory and practice of LLM and DL inference Excellent presentation, communication and collaboration skills Ways To Stand Out From The Crowd: Prior experience with DL training at scale, deploying or optimizing DL inference in production Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, Dynamo, TensorRT, TensorRT-LLM Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design Familiarity with parallel programming and distributed computing platforms 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. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until April 10, 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 highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Originally posted on Himalayas

NVIDIA正在寻找杰出的AI解决方案架构师，以协助和支持使用我们最新AI技术构建解决方案的客户。在NVIDIA，我们的解决方案架构师跨不同团队工作，乐于帮助客户使用最新的加速计算和深度学习软件及硬件平台。我们希望发展公司，与世界上最聪明的人一起建设团队。您愿意加入我们，站在技术进步的前沿吗？您将成为客户信赖的技术顾问，参与激动人心的项目和概念验证，专注于生成式AI和大语言模型（LLMs）的推理。您还将与多元化的内部团队合作，进行推理软件的性能分析和建模。您应能适应动态环境，并具备生成式AI、LLMs和GPU技术的经验。这个职位是在NVIDIA跨学科团队工作的绝佳机会！您将要做的工作：与其他解决方案架构师、工程、产品和业务团队合作。了解他们的策略和技术需求，帮助定义高价值解决方案。与开发者、科学研究人员和数据科学家动态互动，在多个技术领域积累经验。与灯塔客户和行业特定解决方案合作伙伴战略合作， targeting我们的计算平台。与客户紧密合作，帮助他们采用并构建使用NVIDIA技术和MLOps解决方案的创造性解决方案。分析Kubernetes上AI推理工作负载的性能和能效。可能需要出差参加会议和拜访客户（20%）。我们需要看到的：计算机科学、电气/计算机工程、物理、数学、其他工程或相关领域的学士、硕士或博士学位（或同等经验）。8年以上深度学习框架（如PyTorch和TensorFlow）的实践经验。在编程、优化和软件设计方面有扎实的基础，尤其是Python。精通Kubernetes环境中GPU编排和多实例GPU（MIG）管理的问题解决和调试技能。具有容器化和编排技术、AI部署的监控和可观测性解决方案的经验。精通LLM和DL推理的理论与实践。出色的演示、沟通和协作能力。脱颖而出的方式：具有大规模DL训练、在生产中部署或优化DL推理的经验。具有NVIDIA GPUs和软件库（如NVIDIA NIM、Dynamo、TensorRT、TensorRT-LLM）的经验。出色的C/C++编程技能，包括调试、性能分析、代码优化、性能分析和测试设计。熟悉并行编程和分布式计算平台。您的 base salary 将根据您的地点、经验以及类似职位员工的薪酬确定。 base salary 范围为184,000美元 - 287,500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4月10日。此职位为现有空缺。NVIDIA在招聘过程中使用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。由于我们高度重视当前和未来员工的多样性，我们不会基于种族、宗教、肤色、国籍、性别、性别表达、性取向、年龄、婚姻状况、退伍军人身份、残疾状况或任何其他受法律保护的特征进行歧视（包括在招聘和晋升实践中）。最初发布于Himalayas

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