Solutions Architect, Financial Services Capital Markets

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The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects work with top minds with Financial Services Capital Markets and Exchange firms to accelerate High-Performance Computing and AI workloads across various use cases. We’re seeking an inquisitive, hard-working, and creative individual passionate about helping solve challenges. Join us in this endeavor! What You’ll Be Doing: Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures. Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology. Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction. Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers. What We Need To See: MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience) 5+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++ Experience with ML/DL algorithms with frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow Ability to communicate ideas and share code clearly through blog posts, GitHub Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams) Effective verbal/written communication and technical presentation skills Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production Ways To Stand Out From The Crowd: Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms, alongside experience performing performance optimizations. Familiarity with NVIDIA GPU architectures. GPU Development experience through NVIDIA CUDA-x libraries, cuBLAS, cuDNN. Knowledge of MLOps technologies such as containers, data center deployments, cluster management software, etc. Experience working with enterprise developers building HPC or data analytics applications. 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 people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 15, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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 protec

金融服务解决方案架构师团队正在寻找一位杰出人才，加入一支由量化分析师和数据科学家组成的资深团队，以引人注目的全栈加速计算案例服务于金融行业。解决方案架构师与金融服务资本市场和交易所公司的顶尖人才合作，加速各类用例中的高性能计算和AI工作负载。我们正在寻找一位好奇、勤奋、富有创造力且热衷于帮助解决挑战的人才。加入我们的事业吧！您将要做的工作：与NVIDIA工程、产品和销售团队合作，在客户处赢得设计中标。通过客户反馈和概念验证评估，推动NVIDIA产品功能的开发和增长。与客户、工程师和其他架构师并肩进行概念验证，深入分析、剖析和优化机器学习/深度学习模型，确保在当前和下一代GPU架构上实现最佳性能。直接与客户ML研究人员和开发人员/工程师合作，处理影响业务的工作流、项目和问题，利用NVIDIA技术推动成功。促进客户问题的快速解决，并提升客户满意度至最高水平。通过与客户紧密合作，构建应用于金融行业用例（如ML/DL、推荐系统、GNN、蒙特卡洛模拟、量化金融等）的配套材料（notebooks/博客）。我们需要看到：计算机科学、电气/计算机工程、物理学、数学或其他工程领域的硕士/博士学位（或同等经验）。5年以上ML/软件工程师经验，在编写Python、C++代码方面有可靠的成功记录。具有使用PyTorch、Spark、Dask、Jax、TensorFlow等框架的ML/DL算法经验。能够通过博客文章、GitHub清晰地沟通想法和分享代码。乐于与组织内多个层级和团队（工程/研究、产品、销售和营销团队）合作。有效的口头/书面沟通和技术演示技能。自我驱动，热衷于成长，对持续学习充满真正的热情，并在团队中分享发现。擅长在公共云计算和/或本地HPC集群上大规模部署ML/DL模型至生产环境。脱颖而出的方式：展示C/C++编程能力，理解软件设计、编程技术和算法，并具有性能优化经验。熟悉NVIDIA GPU架构。通过NVIDIA CUDA-x库、cuBLAS、cuDNN拥有GPU开发经验。了解MLOps技术，如容器、数据中心部署、集群管理软件等。具有与企业开发人员合作构建HPC或数据分析应用的经验。NVIDIA被广泛认为是技术世界中最令人向往的雇主之一。我们拥有世界上一些最具前瞻性和最勤奋的人才为我们工作。如果您富有创造力和自主性，我们希望听到您的声音！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来确定。基本工资范围为152,000美元至241,500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6月15日。此发布针对现有空缺职位。NVIDIA在其招聘流程中使用AI工具。NVIDIA致力于营造包容性的工作环境，并为成为平等机会雇主而自豪。由于我们高度重视当前和未来员工的多样性，我们不会因种族、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保护特征而歧视（包括在招聘和晋升实践中）。

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