Data Center Architect, CSA
Remote-Friendly, United States · 全职 · 数据与分析
需要对标的能力
大模型原理 · LLM 基础工具调用 · Function Calling评测 · Eval 方法论多模态 · AI 生图
岗位职责与要求
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible.
About the Role
We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery.
As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio.
This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally.
What You'll Do
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Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions
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Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction
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Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports
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Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems
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Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements
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Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities
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Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards
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Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments
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Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline
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Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines
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Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%)
What We're Looking For
Required
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10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design
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Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities
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Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams
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Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies
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Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments
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Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio
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Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability
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Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment
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Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information
Preferred
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Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA)
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Experience with prefabricated and modular construction strategies for data center applications
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Familiarity with geotechnical risk assessment and foundation design for large industrial facilities
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LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials
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International project delivery experience (Europe, Asia-Pacific, or other regions)
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Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000—$405,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
查看中文参考译文
Anthropic 的使命是打造可靠、可解释且可控制的 AI 系统。我们希望 AI 对我们的用户和整个社会都是安全且有益的。我们的团队是一支快速成长的队伍,由致力于构建有益 AI 系统的研究人员、工程师、政策专家和商业领袖组成。
Anthropic 的使命是负责任地开发和维护先进的 AI,以造福人类的长远利益。我们是一家以安全为核心的 AI 公司,致力于构建可靠、可解释且可控制的 AI 系统。随着我们的计算基础设施不断扩展以支持前沿模型的训练和部署,我们正在组建一支世界一流的团队,来设计、交付和运营使这一切成为可能的物理设施。
关于该职位
我们正在寻找一位在土木、结构和建筑(CSA)设计方面拥有深厚专长的首席数据中心架构师,加入我们不断壮大的基础设施团队。该职位是 Anthropic AI 计算设施物理建筑结构的技术负责人——从最早期的场地可行性研究和试算方案,到参考设计开发、设计合作伙伴监督,再到施工交付。
随着 Anthropic 在美国及国际多个地点扩展其数据中心项目,您将制定土木、结构和建筑标准,以规范我们设施的设计和建造方式。您将直接与设计建造合作伙伴、AE 公司以及内部的机械、电气和 IT 基础设施团队合作,确保我们的设施针对高密度 AI 工作负载进行优化,能够在紧迫的时间表内施工,并可在不断增长的资产组合中复制。
这是一个业主工程师职位——您是技术权威,而非顾问。您需要做出具有约束力的设计决策,在问题进入现场之前识别出来,并推动全球并行项目管道中的标准化工作。
您将做什么
· 拥有 Anthropic 数据中心资产组合的土木、结构和建筑参考设计标准,建立可在多个地点和司法管辖区部署的可重复设计元素
· 主导前期试算方案和场地可行性研究,评估结构方案、场地限制、公用设施接口和法规合规性,为场地选择和设计方向提供依据
· 在设计建造的每个阶段(SD、DD、CD、IFC)审查和批准来自设计建造合作伙伴和 AE 公司的 CSA 交付成果,包括图纸、结构计算、技术规范和岩土工程报告
· 将 CSA 设计与机械、电气、管道、消防和 IT 基础设施团队整合,以产生协调一致的设计,支持高密度 AI 计算和直接液冷系统
· 推动场地和园区规划,以最大化计算密度、优化施工分期,并使物理布局与 IT 和运营需求保持一致
· 与施工和交付团队合作,在施工期间提供技术监督,解决现场问题,并支持调试活动
· 评估并发展与设计合作伙伴、结构工程分包顾问以及预制/模块化供应商的关系;定义资质和绩效标准
· 建立和维护设施支持区域标准——物流暂存区、装卸区、维护通道和运营支持空间——按超大规模部署的规模进行配置
· 识别模块化和预制化施工机会,以减少项目管道中的工期、成本和设计风险
· 管理审查周期,协调内部和外部利益相关方,解决设计冲突,确保项目在紧迫的时间表内推进
· 前往全球项目现场进行设计审查、施工审计和调试里程碑(最多 40%)
我们在寻找什么
必备条件
· 10 年以上交付关键任务设施基础设施的经验,其中至少 6 年直接从事超大规模或大规模数据中心 CSA 设计
· 在工业或关键任务设施的土木场地开发、结构设计和建筑规划方面拥有深厚的技术专长
· 具备作为业主工程师或首席技术负责人的经验——制定标准、批准交付成果并管理外部设计团队
· 精通适用的建筑法规和标准,包括 IBC、IFC、ASCE 7、ACI 318、AISC、FM Global 以及多个地区的当地司法要求
· 具有高密度计算环境的经验,包括直接液冷系统、架空母线槽和密集机架部署的结构和建筑适配
· 有推动设计标准化和开发可重复参考设计以应用于多地点资产组合的记录
· 能够评估和批改结构计算、土木场地平面图和建筑施工图纸的准确性、完整性和可施工性
· 在快节奏、多项目环境中与 MEP 学科和 IT 基础设施团队协调的经验
· 与技术性和非技术性受众进行清晰直接的沟通;能够在信息不完整的情况下做出并捍卫设计决策
优先条件
· 持有土木或结构工程领域的注册专业工程师(PE)执照,或持有注册建筑师(AIA / RA)执照
· 具有数据中心应用的预制和模块化施工策略经验
· 熟悉大型工业设施的岩土风险评估和基础设计
· LEED 认证、Uptime Institute AOS/M&O 认证或同等关键任务资质
· 国际项目交付经验(欧洲、亚太地区或其他地区)
· 有在 Autodesk Construction Cloud、Revit 或 Navisworks 中审查设计包的经验
对于销售职位,提供的范围是该职位的目标收入("OTE")范围,这意味着该范围包括销售佣金/销售奖金目标和该职位的年度基本工资。
年度薪资:
$320,000—$405,000 USD
后勤要求
最低学历:学士学位或同等的教育、培训和/或经验组合
所需专业领域:通过课程、培训或专业经验证明与该职位相关的领域
最低工作年限:所需工作年限将与该职位的内部职级要求相对应
我们相信,最具影响力的 AI 研究将是大科学。在 Anthropic,我们作为一个紧密协作的团队,仅专注于少数几个大规模研究项目。我们重视影响力——推进我们关于可控制、可信赖 AI 的长期目标——而非从事更小、更具体的课题。我们将 AI 研究视为一门实证科学,它与物理学和生物学的共同点,与传统计算机科学研究的共同点一样多。我们是一个极度协作的群体,我们频繁举办研究讨论,以确保我们在任何给定时间都在从事最具影响力的工作。因此,我们非常重视沟通技能。
理解我们研究方向的最简单方式是阅读我们最近的研究。这项研究延续了我们团队在加入 Anthropic 之前所从事的许多方向,包括:GPT-3、Circuit-Based Interpretability、Multimodal Neurons、Scaling Laws、AI & Compute、Concrete Problems in AI Safety 和 Learning from Human Preferences。
译文仅供辅助阅读,具体要求以原始招聘来源为准。