出海雷达

Senior Architect, Data Center Modeling

开发工程限定地区(需当地身份)
公司NVIDIA
薪资$184,000 - $356,500/年
工作地点Canada, United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Canada、United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

想象一下,在世界上最具创新性的公司之一塑造人工智能和计算的未来。在 NVIDIA,我们正在通过我们的突破性高性能计算机,人工智能以及可视化领域的进步重新定义行业。我们的 GPU (现代电脑的视觉皮层)是从 AI 到自动驾驶汽车革命技术的核心。加入我们推广可能的边界,使非凡的创造力和发现成为现实,并将科幻小说变成现实。我们寻找有远见的计算机建筑师来设计和开发下一代 GPU 加速数据中心的模型。你会做什么:· 引导数据中心规模加速计算平台的基本软件设计,架构和成本和功率建模实施。· 传达现代软件架构设计模式和工具,包括基于 AI 的解决方案,以加快开发,提高性能和改善整个团队代码质量。· 实现行业领先的软件和发展最佳实践,适合迅速增长的团队,促进持续改进和创新文化。· 对具有商业关键性的代码基础做出实用和重大贡献,直接影响高性能计算机和人工智能技术未来。我们需要看到的是:·计算机科学,计算机工程,电气工程或相应领域的学士学位或同等经验 (MS 优先)· 8年以上系统架构和建模经验,特别是分布式系统的性能,功率或成本建模。· 特殊的 Python 编程技能,伴随着强大的数学和分析技巧。·卓越的人际技能与成功贡献多学科团队内的项目。· 已证明对规模化基于 Python 的软件项目的贡献记录:· 脱而出群众的方式:· 加快服务器架构设计和部署的经验,特别是在超级层次上。· 平行计算,服务器架构或数据中心设计的背景。· 对加速计算和人工智能未来的兴奋与好奇心。· 在数据分析和可视化方面专业知识,特别是潘达和相关技术。·对技术的热爱和对工作的激情。

查看英文原文

Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.

What you'll be doing:

  • Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
  • Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.
  • Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.
  • Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.

What we need to see:

  • Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
  • 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
  • Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.
  • Excellent interpersonal skills with success contributing to projects within multi-discipline teams.
  • Proven track record of contributions to scaled Python-based software projects

Ways to stand out from the crowd:

  • Experience with accelerated server architecture design and deployment, especially up to hyperscale.
  • Background in parallel computing, server architecture, or datacenter design.
  • An excitement and curiosity about the future of accelerated computing and AI
  • Expertise in data analysis and visualization, especially pandas and associated technologies
  • A love of technology and passion for your work!

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 January 13, 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

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