Databricks人才情报 · 美国·印度·荷兰 · 2026Databricks Talent Intelligence · US · India · NL · 2026
从数据工程到AI Agent：Databricks正在重塑企业数据技术栈From Data Engineering to AI Agents: How Databricks Is Reshaping the Enterprise Data Stack
美国、印度、荷兰招聘与在职数据：Forward Deployed Engineer 三个月涨约 40 倍，改写招聘结构的是 Lakebase，Agent 仍停留在产品语言层面。Across the US, India and the Netherlands: Forward Deployed Engineer postings grew about 40× in three months, Lakebase is the product reshaping the mix, and Agent remains product language.
137现职 AI/ML 序列人数Current AI/ML roles
10×Lakebase 提及率半年涨幅Lakebase mentions, 6-month rise
40×FDE 招聘量峰值涨幅FDE hiring, peak rise
AI基建人才热点AI Infrastructure Hiring
AI 基建人才争夺战：卡住算力扩张的岗位AI Infra Talent Race: Roles Constraining Compute Buildout
卡住算力扩张的是岗位。NVIDIA 联手华尔街撬动 5000 亿美元之后，真正的约束是哪些席位能把算力建起来。Roles are the constraint on compute buildout. NVIDIA and Wall Street have moved to mobilize more than $500B for AI infrastructure — the race is which seats can deliver it.
2,615数据中心工程师日职位数DC Engineer daily postings
19.6%施工/项目在招代理比率Construction/Project ratio
+295.0%Jacobs 数据中心招聘增速Jacobs DC hiring growth
Hot Topic Briefing · NVIDIA × Wall Street × AI InfrastructureAI Infrastructure · Capital & Talent · 2026
六家银行与超 5000 亿美元 AI 基建资本：人才层Six Banks and $500B+ AI-Infra Capital: The Talent Layer
NVIDIA 与六家金融机构提出长期动员超过 5,000 亿美元第三方资本的目标；下一场争夺是连接算力、电力、数据中心、金融与合约的人才。NVIDIA and six financial institutions aim to mobilize $500B+ in third-party capital over time. The next battle is for talent connecting compute, power, data centers, finance, and contracts.
$500B+长期第三方资本目标Long-term third-party capital target
14核心公司人才地图Core-company talent map
6关键责任座Critical accountability seats
Discovery Loop 人才格局 · AI for Science · 2026Discovery Loop Talent Landscape · AI for Science · 2026
Jeff Dean 离开 Google，揭示 AI 下一站人才缺口Jeff Dean leaves Google, revealing AI’s next talent gap
创始人能力谱系、招聘关键词与同类公司地图，定位 Discovery Loop 人才寻访优先级。Founder capability lineage, hiring keywords, and a peer-company map that prioritize Discovery Loop talent search.
4创始人核心能力Founder capabilities
594血统覆盖可核实人才Verified lineage talent
264同类公司招聘职位Peer postings
AI Agent 人才结构 · 美国 · 2026AI Agent Talent Structure · U.S. · 2026
AI Agent 人才结构对比AI Agent talent structure
覆盖美国 32 家公司，基于 259 个 Agent JD 与 513 名可识别在职 Agent 人才，对比岗位组、公司缺口、人才来源、流动路径与地区分布。Covering 32 U.S. companies, based on 259 Agent JDs and 513 observed current Agent professionals, comparing job groups, company gaps, talent sources, movement paths, and geography.
513在职 Agent 人才Current Agent talent
259活跃 Agent JDActive Agent JDs
10岗位组job groups
Frontier AI 人才基准 · 3 家公司 · 2026Frontier AI Talent Benchmark · 3 companies · 2026
OpenAI、Anthropic 与 xAI 人才结构对比OpenAI, Anthropic and xAI Talent Structure Benchmark
基于 9,421 条美国公开职业档案与 1,629 条重点国际市场档案，对比 OpenAI、Anthropic 与 xAI 的岗位结构、人才来源、公司间流动与地域差异。A comparison of OpenAI, Anthropic and xAI across role mix, talent sources, inter-company movement and geography, based on 9,421 U.S. profiles and 1,629 international profiles.
9,421职业档案Public profiles
≈40%Engineering 占比Engineering share
5.83×xAI HDE over-indexxAI HDE over-index
Semiconductor 人才地图 · 58 家公司 · 2026Semiconductor Talent Map · 58 companies · 2026
海外芯片研发与制造人才报告 58家公司与人才清单地图Overseas chip R&D and manufacturing talent report Map of 58 companies and priority talent leads
覆盖 10 个国家/地区、58 家芯片研发与制造公司、101,975 条人才线索，拆解设计、制造、设备、EDA/IP、材料与封测的人才存量与流动，另有 48 条可解锁重点人选。Covering 10 countries, 58 chip R&D and manufacturing companies, and 101,975 talent leads across design, manufacturing, equipment, EDA/IP, materials and packaging — plus 48 gated priority targets.
10国家/地区Countries/regions
58代表性公司Companies covered
101,975芯片人才线索Chip talent leads
FinTech 人才动量 · 30 家公司 · 2026FinTech Talent Momentum · 30 companies · 2026
谁在流入，谁在失血 30 家金融科技公司的工程人才动量榜Who's winning talent, who's bleeding it An engineering-talent momentum leaderboard of 30 fintech companies
30 家金融科技龙头、25,860 名在职工程师：谁在净吸纳工程人才、谁在失血、最大的人才管道流向哪里、创始人外溢去了哪。30 fintech leaders, 25,860 current engineers: who net-imports talent, who bleeds it, where the biggest talent pipe runs, and where founders spill over.
25,860在职工程师纳入分析Engineers analyzed
16.9%近一年内新入职Joined last year
Ramp +51圈内净吸纳第一Top net importer
Talent X-Ray · 单公司人才透视Talent X-Ray · Single-company talent profile
OpenAI 工程团队人才透视： 招建设者，不招研究员OpenAI Engineering Talent X-Ray: hires builders, not researchers
基于 Metix AI 全球人才库，对 3,041 名 OpenAI 在职技术人才做全量画像，拆解资历、招聘节奏、技能、来源、教育与职级，还原「招建设者，不招研究员」的组织底色。A full-population profile of 3,041 OpenAI engineers from Metix AI's global talent pool — seniority, hiring pace, skills, sources, education and levels — revealing an org that hires builders, not researchers.
3,041OpenAI 在职技术人才OpenAI technical staff
14.4%拥有博士学位Hold a PhD
88%位于美国Based in the US
Talent Intelligence Report · 人才流动Talent Intelligence Report · Talent Flow
量化金融 × AI 人才流动Quant Finance × AI Talent Flow
25 家顶级量化机构的 29,317 份在职画像中，现任 AI Lab、有量化履历者 367 人，反向 90 人。Among 29,317 current-employee profiles at 25 top quant firms, 367 people now at AI labs carry quant experience versus 90 the other way.
25顶级量化机构Top quant firms
29,317在职画像Current employees
367量化 → AI LabQuant → AI Lab
Talent Intelligence Report · 人才图谱Talent Intelligence Report · Talent Map
前沿 AI Lab 人才全景与流动图谱Frontier AI Labs Talent Landscape & Flow Map
13 家前沿 AI 实验室的人才全景：谁在为谁输送与流失人才、点名级人才流动网络、研究员与工程师层组织拼图。A talent panorama of 13 frontier AI labs: who feeds and who loses talent to whom, the name-level talent-flow network, and the researcher-vs-engineer org map.
13前沿 AI LabFrontier AI Labs
19,057在职画像Current employees
11,914技术人才池Technical talent pool
Talent Intelligence Report · 人才地图Talent Intelligence Report · Talent Map
临床 AI 与医疗系统 人才地图Clinical AI & Health Systems Talent Map
22 家医疗 AI 公司与医院系统 AI 团队，锁定既懂临床工作流又懂机器学习的「双语人才」与来源管道。22 clinical-AI companies & hospital AI teams: locating the rare bilingual talent fluent in both clinical workflow and machine learning, and their source pipelines.
6,415美国在职画像current U.S. profiles
2,606有临床背景Clinical background
1,077临床×ML 双语人才Clinical×ML talent
Talent Intelligence Report · 人才地图Talent Intelligence Report · Talent Map
TechBio / AI 制药 人才地图TechBio / AI Drug Discovery Talent Map
35 家公司、6,420 份画像（计算/ML 池 4,374 / 35 家）：干湿双背景、AlphaFold 外溢与 AI 制药组织拼图。35 companies and 6,420 current profiles (computational/ML pool 4,374 of 35): wet-lab × dry-lab talent, AlphaFold spillover, and the AI-pharma org map.
35目标公司Target Companies
6,420在职画像Current Profiles
4,374计算/ML 人才池Computational/ML pool
Talent Intelligence Report · 人才地图Talent Intelligence Report · Talent Map
具身智能与 人形机器人 人才地图Embodied AI & Humanoid Robots Talent Map
13 家具身主体、1,930 份画像（技术池 1,044 / 13 家）：硬件×AI 交叉结构、来源与流动走廊。13 embodied-AI players and 1,930 current profiles (technical pool 1,044 of 13): hardware × AI structure, sources, and flow corridors.
13具身主体Embodied players
1,930在职画像Current profiles
1,044技术人才池Technical talent pool
Talent Intelligence Report · 人才走廊Talent Intelligence Report · Talent Corridor
游戏引擎 × 世界模型 人才走廊Game Engine × World Model Talent Corridor
引擎侧 486 名图形人才（技术池 4,725 / 4 家）与世界模型侧 11.7% 引擎来源（72/618）。486 engine-side graphics specialists (pool 4,725 / 4 companies) and 11.7% engine pedigree on the world-model side (72/618).
486引擎侧图形人才Engine graphics talent
4,725引擎侧技术池Engine technical pool
11.7%世界模型侧引擎来源Engine-origin share
Job Market Intelligence · 岗位结构Job Market Intelligence · Job Structure
海外岗位 结构分布报告Overseas Jobs Structure Report
海外（不含中国）在招岗位的结构分布：从国家、职能、行业、岗位类别四个维度看招聘需求集中在哪里。中英双语。Structure of active job postings outside China — across country, function, industry and job category — showing where hiring demand concentrates. Bilingual.
6,167,276海外活跃岗位Overseas active jobs
54.0%美国占比US share
73.2%Top 5 国家占比Top 5 countries
