2026中国大陆AI人才薪资指南

2026Mainland

China

AI

Landscape

&

Salary

Guide中国大陆AI人才薪资指南potential

candidatesreachedeach

month

on

social

networkssince2013,theM

organphilipsGrouphasbeenreinventing

the

codes

oftalentacquisition

andmanagementconsulting

by

offering

arange

ofinnovative

services,1M+of

talentinourglobal

database+2Ocountriesacross4

continentscustomers

of

all

size

s

and

inall

sectors

ofactivity3talentsearchcentres2026AITalentLandscape&SalaryGuideC43

2422what

willthe

future

ofworklooklike

inanageo

fAl

(Artificial

Intelligence)?In

its2025Future

of

JobsReport,the

world

EconomicForum(WE

F)estimatedthatbetween2025and

2030,92millionjobs

worldwideareexpectedtobedisplacedorsignificantlyautomated,

while170millionnewrolesareprojected

tobecreated,relyingheavily

onglobalups

killingefforts.Half

ofemployersplan

toreorienttheirbusinessinresponsetoAl,two-thirdsplantohiretalent

with

specific

Alskills,

while40%anticipatereducingtheirworkforcewhere

Al

canautomatetasks.

Goldman

sachspredictsthat2026willbeth

eye

arAlshiftsfroma

tool

that

enhancesproductivitytoone

thatdirectlyreplacesworkers.About25%ofallcurrent

workhourscouldbe

automated

byAl,

and67%of

theus

workforce

will

bedisplaced.Buttheimpactis

likely

tobetransitory

as

newjob

opportunitiescreatedbythetechnology

ultimatelyputpeopletoworkinothercapacities.History

shows

thatnewtechnology

oftenreplacessomejobsbutalsocreatesnew

ones.

And

Al

wil

lbe

no

different.

AS

Al

models

become

larger

and

moreactive,demand

hasincreasedsignificantlytothe

businesses

thatprovidetheinfrastructureto

runA

landthespecializedservicesto

integrate

it.

Theyinclude

semiconductors&Fiberoptics,Electronics/HardwareManufacturing,power,Energy,and

constructions

for

Giga

watt

scale

AI

Factories.New

applications

anddemands

were

generated

in

the

sectors

of

Healthcare,Financial

services,

ICT,Robotics,

Manufacturing,Retail,to

nameafew.

In

addition,Al

could

lead

to

newcareer

s

in

areas

likeAl

management,systemtraining,

datagovernance,creative

fields,

technologysupport,andAgent-as-a-service(Aaas).在AI时代未来的工作会是什么样子？世界经济论坛（

WEF）在其

《2025年未来就业报告》

中预估2025至2030年间，全球预计将有9,200万个工作被AI取代或实现高度自动化，而若是人类能够努力提升技能，则有1.7亿个新的就业机会可能被创造出来。

一半的雇主计划调整业务方向应对AI时代，三分之二的雇主计划招募具备特定人工智慧技能的人才，而40%的雇主打算在AI可自动完成的工作里盘点人力，缩减编制。高盛预测，2026年将是人工智慧从提高生产力的工具，转变为直接取代人力的转折点。目前在人类的工作中约25%

工时的产出可以被AI自动化，6%至7%

在美国的劳动力将因此失业。但这种影响可能是暂时的，因为新的科技会创造新的就业机会，最终会让人们从事其他工作。历史显示新技术往往会取代部分工作，但同时也会创造新的就业机会，

AI也不例外。随着AI模型的规模与功能日益强大，对于提供AI运作的基础设施和整合相关服务的需求也显著增长，带动了半导体，光纤，和电子制造业的成长，加大对于电力、能源，和建设盖瓦级AI工厂的需求。诸多产业如医疗保健、金融服务、资通讯、机器人、制造业、零售业等亦相继出现新的应用。此外AI可望催生新兴的职业，如人工智慧管理、系统训练、资料治理、创意领域、技术支援以及代理即服务（AaaS

）。

Introduction2026AITalentLandscape&SalaryGuide2026AITalentLandscape&SalaryGuideAttheworldEconomicForum(WE

F)2026,NVIDIACEO

JensenHuangdescribed

thetransformativeimpactofAlusing

themetaphorofa"five-layer

cake."Inhis

view,

Alisnota

single

technology

butastackofinterconnected

layers:energy,

chips

and

computing

infrastructure,cloudanddata

centers,

AImodelssuchaschat

GPT,

Gemini,

andclaude,and

finally

the

application

layer

where

businesses

across

manyindustriesultimately

captureeconomic

value.

webelieve

this

sameframework

can

alsobe

appliedto

jobanalysis.

Accordingly,

this

salaryguide

goes

beyond

co

reAl

technical

roles

to

also

highlight

the

highdemandpositionsthatsupport

theglobal

expansionofAlinfrastructure.The

re

port

draw

son

data

and

research

from

our

proprietary

database,aswell

asinsightsgatheredfromvarious

job

board

sand

professionalnetworks.It

covers

the

following

topics

and

job

families.在2026年世界经济论坛（WEF）上，nVIDIA执行长黄仁勋用「五层蛋糕」的比喻来描述AI的变革性影响。他认为人工智慧并非单一技术，而是由相互关联的多个层级构成：能源、晶片和运算基础设施、云端运算和资料中心、诸如ChatGPT、Gemini和Claude等AI模型，以及最终的应用层—各行各业的企业最终在此获取经济价值。我们相信，同样的架构也适用于职位分析。因此，这份薪酬指南不仅涵盖核心人工智慧技术职位，还重点介绍了支援AI硬体与基础设施的高需求职位。报告的数据和研究来自我们专有的资料库，以及从各种招聘网站和专业网路收集的资讯。报告涵盖以下主题和职位类别。

Source:

nVida

2026

company

blogwww.morganphil

•中国大陆市场概览•

高需求岗位—

互联网平台与AI生态

大语言模型（LLM）工程师

推荐算法工程师 AI产品经理（平台/AI应用）

AI基础设施工程师

AI应用工程师•

高需求岗位—智能制造与工业AI

计算机视觉工程师（工业检测）

工业AI架构师

机器人AI工程师

智能工厂数据科学家

AI工艺优化工程师•

高需求岗位—

汽车、智能驾驶与智能出行

自动驾驶算法工程师

传感器融合工程师

车载边缘AI工程师

车辆数据科学家

智能驾驶感知工程师•

2026年展望与挑战2026AITalentLandscape&SalaryGuidewww.morganphil

•••••2026AITalentLandscape&SalaryGuidewww.morganphi

中国大陆已成为亚洲最具活力的AI应用与产业转型市场之一，这主要得益于其庞大的数字平台生态、完整的制造业基础，以及快速发展的智能汽车产业。与由单一行业主导的市场不同，中国的AI生态由消费互联网平台、产业升级、先进计算与自动驾驶系统共同驱动，从而带来广泛且持续的人才需求。与此同时，政府持续推进“人工智能+”行动，也正加快AI在制造、医疗、交通等重点领域的落地。在中国，

AI的应用已不再停留于试验阶段。截至2025年12月，全国生成式AI用户使用率已达到42.8%，用户规模达6.02亿，反映出AI工具正快速融入日常生活与各类生产场景。与此同时，市场也正从通用型应用逐步转向更具行业针对性的解决方案，尤其体现在平台业务、智能制造和智能汽车等领域。从企业招聘需求来看，当前最活跃的方向主要集中在三大领域。首先，大型互联网公司与AI平台企业持续扩充大模型、推荐算法、

AI基础设施及产品创新相关团队。其次，随着智能制造不断推进，制造企业正加大对计算机视觉、机器人和工厂智能化能力的投入。官方数据显示，全国目前已建成近1万家数字化车间和智能工厂，其中超过400家为国家级智能制造示范工厂。第三，汽车与新

能源汽车产业生态正持续带动自动驾驶、智能座舱和边缘计算等方向的AI人才需求，智能网联汽车相关产业链也在不断完善。与此同时，先进计算及半导体相关人才在中国同样具有重要战略意义。尤其体现在AI芯片设计、嵌入式AI以及系统级优化等方向。但与台湾作为全球半导体制造重镇的定位不同，中国市场的人才需求更集中在AI系统开发、产业场景落地及应用层创新。这也使得企业越来越重视复合型人才，即同时具备机器学习能力与制造、汽车出行或大规模数字产品经验的人选。随着市场逐步成熟，中国大陆的AI人才竞争也正变得更加聚焦与务实。企业比以往更看重候选人是否能够推动实际业务成果、适应复杂数据环境，并支持从模型开发走向规模化部署。这一趋势预计将在2026年继续成为中国AI招聘市场的重要特征。中国大陆市场概览2026AITalentLandscape&SalaryGuidewww.morganphil

High-demand

Jobs

inAI

Platforms,Internet&Consumer

Technology互联网平台与AI生态LLM

Engineer/AIAlgorithmEngineerJobFamily:LargeLanguageModels,NLP,DeepLearning,ModelFinetuning,RAGLLM

Engineers

develop,

fine

tune

and

deploy

large

language

models

for

search,

assistants,

content

generation

and

enterprise

Al

applications.Hiringremainsstrong

acrossinternetplatforms,

Alnative

startup

sandcloud

ecosystems.Demand

isshifting

fromgeneric

modelexperimentation

to

domainadaptation,inference

efficiency

and

production

deployment.

china's

model

ecosystem

reached1,509released

large

models

byJuly2025,which

continues

to

supportdemand

forL

LMengineeringtalent.相关职位:大语言模型、自然语言处理、深度学习、模型微调、检索增强生成大语言模型工程师负责开发、微调并部署大模型，用于搜索、智能助手、内容生成及企业级AI应用。该岗位在互联网平台、大模型创业公司和云生态中需求持续旺盛。企业关注点正从通用模型试验转向行业化适配、推理效率和生产环境落地。到2025年7月，中国累计发布1,509个大模型，进一步带动了LLM工程师需求。Industry

sectorEntry-to-MidLevelsenior/Lead(8+years)InternetplatformRMB

6OOK90OKRMB

1.1MR

MB1.8M+Alstart

ups&Foundation

ModelR

MB650OK95OKRMB

1.2M

mm

R

MB2.

OM+cloud/EnterpriseAI

vendorsR

MB550K

85OKR

MB

1.OMR

MB1.6Mwww.morganphil

RecommendationAlgorithmEngineerRecommendation

Algorithm

Engineers

develop

machine

learning

models

that

deliver

personalized

content,

product

recommendations

and

targeted

advertising.Thesemodelsare

critical

to

userengagement

and

revenue

generation

acrossdigitalplatforms.Recommendationsystemsremainoneof

themostcommerciallyimportant

Altechnologiesinchina's

interneteconomy.Majortechnology

companiescontinue

toinvest

heavily

in

algorithm

teams

to

improve

user

engagement

metrics

such

as

cTR,retention

and

conversion.相关职位:推荐系统、排序算法、召回模型、机器学习、用户行为分析推荐算法工程师负责开发用于个性化内容推荐、商品推荐以及广告精准投放的机器学习模型，这些算法在互联网平台的用户增长和商业化体系中发挥核心作用。推荐系统仍是中国互联网经济中最具商业价值的AI技术之一。大型互联网公司持续加大算法团队投入，以提升点击率、用户留存率及转化率等核心指标。E-commerce

platformsRMB

50OK

mm

80OKRMB

90OK

1.5MRetail

TechnologyR

MB45OK

7OOKRMB

85OK

1.3Mcontent/short

videoplatformswww.morganphil

R

MB550K

85OKR

MB

1.OM

1.6MAIProductManager(AI

Platforms/Consumer

AI)

JobFamily:productManagement,Al

Applications,platformstrategy,

Dataproducts,Growth

AnalyticsAlproductManagers

define

Alproductstrategies,

translatealgorithmcapabilitiesintouserfacing

applicationsandcoordinatecrossfunctionalteams

tolaunchAl

drivendigital

products.withther

iseo

fAlnativeapplicationsandintelligentassistants,

demandforproductmanagerswith

bothtechnical

understanding

and

commercial

awareness

hasincreased

significantly.

These

roles

are

especially

important

in

internet

platform

s

andAl

s

tart

ups.相关职位：产品管理、

AI应用、平台战略、数据产品、增长分析AI产品经理负责制定AI产品战略，将算法能力转化为用户可用的产品功能，并协调算法、工程与业务团队推动AI产品的开发和上线。随着AI原生应用和智能助手产品的兴起，具备技术理解能力与商业洞察力的产品经理需求明显增加。互联网平台和AI创业公司对该岗位需求尤为旺盛。IndustrysectorEntry-toMidLevelsenior/Lead(8+yrs)InternetplatformsR

MB45OK

70OKR

MB850OK1.4MAl-native

ApplicationsRMB

50OK8OOKRMB

90OK

mm

1.5MEnterprise

softwareRMB4OOK65OKRMB

8OOK

1.2Mwww.morganphil

AIInfrastructure

EngineerJobFamily:MLOPS

LLMOPS,Distributed

Training

systems,AIplatforms,cloudInfrastructureAl

Infrastructure

Engineers

build

and

maintain

large

scale

systems

used

for

model

training,

deployment

and

monitoring.Their

work

ensures

reliable

Al

productionenvironment

sandscalablecomputinginfrastructure.As

companiesmovefromexperimental

Al

developmentto

productiondeployment,

demandforinfrastructureengineerscapableofmanaging

distributedtrainingsystems

and

model

deployment

pipelines

continues

to

grow.相关职位：分布式训练系统、AI平台架构、云计算基础设施AI基础设施工程师负责构建和维护支持模型训练、部署和监控的大规模系统，确保AI平台具备稳定的生产环境和可扩展的计算能力。随着企业逐步从AI实验阶段迈向生产级部署，能够管理分布式训练系统与模型部署平台的基础设施工程师需求持续增加。Industry

sectorMid-Level(7+years)seniorLevel(12+yrs)Internet/cloud

platformsR

MB70OK

11MRMB

1.3M

mm

2.

OM+Fin

Tech

lDigitalplatformsR

MB

65OK1.OMRMB

1.2M

1.8MAlstart

upsRMB

6OOK95OKRMB

1.1M

1.7Mwww.morganphil

AI

ApplicationEngineerJobFamily:Al

solutions

Engineering,ApplicationIntegration,prompt

Engineering,Al

work

flow

DesignAl

Application

Engineer

s

imple

mentAl

capabilities

into

real

world

systems

and

work

flows.

They

bridge

the

gap

between

algorithm

development

and

businessdeploymentbyintegratingmodelsinto

practicalapplications.idly

integrate

Al

models

into

operationalsystems.相关职位：

AI解决方案工程、应用集成、提示工程、AI工作流设计AI应用工程师负责将AI模型能力整合到实际业务系统和工作流程中，是连接算法研发与业务落地的重要桥梁。随着“人工智能+”战略推进，各行业对能够快速将AI模型集成到业务系统中的应用工程师需求持续增加。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)Enterprise

softwareR

MB35OK

55OKR

MB7O

OK1.1MAIsolution

vendorsRMB

4OOK65OKRMB

8OOK

1.2MInternetplatformsR

MB42OK

68OKR

MB850K

mm

1.3Mwww.morganphil

High–

DemandJobsinIntelligentManufacturing&IndustrialAI智能制造与工业AIComputerVisionEngineerJobFamily:computer

vision,

DeepLearning,Imageprocessing,Industrial

Altonnatevisual

inspection

acrossmanufacturing

processes.

Thesemodelsareoftendeployedon

factory

production

linesto

improvequalitycontrol,reducehumaninspection

costsandincrease

operationalefficiency.ndintelligentfactories,

driving

adoptionofAl

basedvisualinspectionacross

electronics,automotive

andsemiconductoradjacentmanufacturing.Asmanufacturers

prioritize

yieldimprovementand

automation,

demandforindustrialcomputer

visionspecialistscontinuesto

expand.相关职位:计算机视觉、深度学习、图像处理、工业AI工业视觉工程师主要开发用于缺陷检测、质量监控和自动化视觉检测的AI模型。这些模型通常部署在生产线上，用于提升质量控制水平、减少人工检测成本并提高生产效率。该岗位需求与中国制造业数字化升级密切相关。目前全国已建成接近1万家数字化车间和智能工厂，电子制造、汽车制造以及泛半导体产业正在广泛部署AI视觉检测系统。随着企业持续提升自动化与良率水平，工业视觉算法人才需求持续增长。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)ElectronicsManufacturingR

MB35OK

55OKR

MB7O

OK1.1MIndustrial

AutomationR

MB38OK

60OKR

MB75OK

1.2MAutomotiveManufacturingRMB

4OOK65OKRMB

8OOK

1.3Mwww.morganphil

IndustrialAIArchitectJobFamily:Industrial

Al

Architecture,smartFactory

systems,Data

platforms,OT/ITIntegrationIndustrialAlArchitects

design

end-to-endAlsolutions

thatintegrate

productionequipment,industrialdataplatforms

and

enterpriseITsystems.

Theirroleincludes

definingarchitecturestandards,selectingtechnologyframework

sandensuringscalableAl

deploymentacrossmanufacturing

environnents.As

manufacturing

firms

expand

smart

factory

initiatives,

architecture

level

expertise

is

becoming

increasingly

important.Large

industrial

groups

and

technologyintegrator

sarerecruitingAl

architectscapableoflinkingoperationaltechnology(OT)systemswithenterprisedataplatformstosupportpredictivemaintenance,

quality

analytic

sandoperational

optimization.相关职位：工业AI架构、智能工厂系统、工业数据平台、OT/IT融合工业AI架构师负责设计覆盖生产设备、工业数据平台以及企业IT系统的端到端AI解决方案，并制定技术架构标准，确保AI在制造环境中的稳定部署与规模化应用。随着智能工厂项目规模扩大，企业对架构级人才需求明显增加。大型制造企业和工业技术集成商正在寻找能够连接生产设备系统（OT）与企业数据平台的AI架构师，以支持预测

性维护、质量分析和生产优化。Industry

sectorEntry-to-MidLevelsenior/Lead(8+years)Industrial

ManufacturingRMB

6OOK

mm

90OKRMB

1.1M

1.7MAutomation

l

systemsIntegrationR

MB65OK

95OKRMB

1.2M

1.8MsmartEquipment

vendorsR

MB550K

85OKRMB

1.OM

mm

1.5Mwww.morganphil

Robotics

AIEngineerJobFamily:Robotics,Motionplanning,perception

systems,control

Algorithmsmationsystems

and

intelligentmachinery.

Theirworkenablesmachinestointeract

with

physicalenvironments

autonomously.相关职位：机器人技术、运动规划、感知系统、控制算法机器人AI工程师负责开发用于工业机器人、物流机器人和智能设备的感知、导航和运动规划算法，使机器人能够自主感知环境并完成复杂任务。随着制造业自动化和物流机器人需求增长，中国机器人产业正在快速发展。AI技术在工厂自动化、仓储物流和服务机器人中的应用持续扩大，对同时具备机器人与AI技术背景的人才需求不断增加。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)RoboticsManufacturersR

MB45OK

7OOKRMB

90OK

1.4Mwarehouse

AutomationR

MB42OK

68OKRMB85OK

mm

1.3MIndustrialEquipmentRMB4OOK

65OKRMB

8OOK

mm

1.2Mwww.morganphil

SmartFactoryDataScientistJobFamily:

Industrial

Analytics,predictive

Maintenance,Timeseries

Modeling,ManufacturingData

sciencesmartFactory

Datascientistsanalyzemanufacturingandequipment

datatoimproveproductionyield,reducedowntimeandoptimizeenergyefficiency.Theirwork

supports

predictive

maintenance

andoperational

decisionmaking

withinindustrialenvironments.OT

and

digital

monitoring

systems,demandfor

datascientistscapable

of

working

withoperational

datasets

continuesto

grow.相关职位：工业数据分析、预测性维护、时间序列建模、制造数据科学智能工厂数据科学家通过分析生产设备与运营数据，提高良率、降低停机时间并优化能源使用效率，支持预测性维护和生产决策。随着工业物联网和生产监控系统普及，越来越多制造企业开始使用数据分析优化运营表现，对具备制造数据分析能力的数据科学家需求持续增长。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)Electronics

ManufacturingRMB

50OK

mm

80OKRMB

90OK

mm

1.5MAutomotive

ManufacturingR

MB48OK

mm

78OKRMB

90OK

mm

1.4MHeavyIndustryR

MB42OK

7OOKRMB

80OK

1.2Mwww.morganphil

AI

Process

Optimization

EngineerAlprocess

optimizationEngineersdevelopmachinelearningandoptimization

modelstoimprovemanufacturingprocesses,productionefficiency

andresource

utilization.

Theirworkfocusesonanalyzing

productiondata,identifyinginefficienciesandimplementing

Al

driven

solutionstooptimize

throughput,yieldandoperational

performance.Asmanufacturersaccelerate

digitaltransformationinitiatives,

Aldrivenprocessoptimizationisbecoming

akey

priorityin

smartfactories.

Industriessuch

aselectronicsmanufacturing,semiconductors,

automotiveandadvancedmaterialsincreasingly

deploy

Almodelstooptimizeproductionscheduling,

quality

controland相关职位：工业AI、生产流程优化、运筹优化、制造数据分析、预测建模AI流程优化工程师通过机器学习与优化算法分析生产数据，识别生产流程中的效率瓶颈，并提出AI驱动的优化方案，以提升产能、良率和资源利用效率。随着制造企业推进智能制造和数字化转型，利用AI技术优化生产流程成为重要应用方向。电子制造、汽车制造、半导体相关产业以及先进材料行业正逐步使用AI模型进行生产排程优化、质量管理及能源效率提升，因此对既具备AI能力又理解制造流程的人才需求持续增长。Electronics

ManufacturingAutomotiveManufacturingIndustrialEquipment/MaterialsR

MB48OK

75OKR

MB42OK

65OKRMB

90OK

1.4MRMB

8OOK

1.2Mwww.morganphil

High–demandJobsinAutomotive,EV&AutonomousSystems

汽车、智能驾驶与智能出行AutonomousDrivingAlgorithmEngineerJobFamily:Autonomous

Driving,ADAS,planning&control,MachineLearningAutonomousDriving

AlgorithmEngineers

develop

core

algorithmsthatsupport

advanceddriverassistancesystems(ADAS)andautonomousdrivingcapabilities.

Their

work

includes

perception

modeling,path

planning

and

decision

making

algorithms

for

intelligent

vehicles.china'S

Eva

nd

intelligent

driving

ecosystem

continues

to

expand

rapidly.

The

country

produced

over12million

newenergy

vehicles

annually,creating

sustaineddemand

for

autonomous

driving

engineers

across

auto

makers,

technology

firm

s

and

automotive

suppliers.相关职位：自动驾驶、

ADAS系统、运动规划、决策算法、深度学习自动驾驶算法工程师负责开发支持高级驾驶辅助系统（ADAS）及自动驾驶功能的核心算法，包括环境感知、路径规划以及车辆决策系统。中国新能源汽车产业持续高速发展，年产销量已超过

1200万辆。智能驾驶系统成为汽车产业升级的重要方向，整车厂、自动驾驶技术公司及Tier1供应商持续招聘自动驾驶算法

工程师。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)EV

ManufacturersR

MB70OK

mm

11MRMB

1.3M

2.

OM+Autonomous

Driving

start

upsRMB

8OOK

mm

1.2MR

MB

1.5M

mm

2.5M+Automotive

suppliers(Tier1)RMB

6OOK

95OKRMB

1.1M

1.7Mwww.morganphil

SensorFusionEngineerJobFamily:sensor

Fusion,Multimodalperception,Radar/Li

DARIntegration,Autonomous

systemssensor

Fusion

Engineers

integrate

data

from

multiple

sensors

such

as

cameras,radar

and

Li

DARt

o

improve

environmental

perception

and

decision

accuracy

inautonomous

systems.Their

work

is

essential

for

improving

safety

and

reliability

in

intelligent

vehicles.As

intelligent

driving

systems

become

more

advanced,

sensor

fusion

has

become

a

critical

component

in

automotive

Al

development.Demand

remains

high

among

EVmanufacturers,

autonomousdrivingcompaniesand

advanceddriver

assistance

systemsuppliers.相关职位：传感器融合、多模态感知、雷达与激光雷达融合、自动驾驶系统传感器融合工程师负责整合摄像头、毫米波雷达、激光雷达等多源数据，提高自动驾驶系统的环境感知能力和决策准确性。随着智能驾驶系统复杂度不断提升，传感器融合成为自动驾驶技术的关键模块。新能源汽车企业、自动驾驶技术公司及Tier1供应商持续招聘相关工程人才。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)EV

ManufacturersR

MB650OK1.OMRMB

1.2M

1.8MAutonomousDriving

FirmsR

MB7O

OK1.1MRMB

1.3M

2.OMAutomotive

Tier1suppliersRMB

55OK90OKRMB

1.OM

1.6Mwww.morganphil

EdgeAIEngineer(Automotive)JobFamily:Edge

Al,Embedded

systems,Model

optimization,Invehicle

Al

Deployment

improvingmodelefficiency

underconstraintssuchascomputing

power,latency

andenergyconsumption.As

intelligent

vehicle

systems

increasingly

rely

on

onboard

computing

rather

than

cloud

processing,

demand

for

engineers

capable

of

optimizing

models

for

edgedevicesis

growingrapidly

within

theautomotive

sector.相关职位：

边缘AI、嵌入式系统、模型优化、车载AI部署车载边缘AI工程师负责将AI模型优化并部署在车载芯片和嵌入式系统中，以满足低延迟、低功耗和实时计算等要求。随着汽车智能化水平提升，越来越多AI功能需要在车端完成计算，因此能够进行模型压缩和嵌入式部署的工程师需求持续增加。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)smartEV

ManufacturersR

MB650OK1.OMRMB

1.2M

1.9MAutomotive

ElectronicsRMB

55OK

90OKRMB

1.OM

1.6MAIchi

pl

Embedded

systems

FirmsR

MB7O

OK1.1MRMB

1.3M

2.OMwww.morganphil

VehicleDataScientistJobFamily:Automotive

DataAnalytics,

predictiveModeling,Mobility

Data

sciencevehicle

Data

scientists

analyze

data

generated

by

connected

vehicles

to

improve

driving

algorithms,

optimize

fleet

management

and

enhance

user

experience

inmobility

services.connectedvehicleecosystemsgeneratemassivevolumesof

drivingdata.

Automaker

sandmobilityplatformsincreasinglyrelyondatascientiststoconvert

vehicle

datainto

insightsthatimprovesafety,

system

performance

and

userservices.相关职位：汽车数据分析、预测建模、智能出行数据科学车辆数据科学家负责分析来自智能网联汽车的大规模数据，以优化自动驾驶算法、提升车队管理效率并改善用户出行体验。随着智能网联汽车普及，车辆产生的数据量快速增长。整车厂和出行平台越来越依赖数据科学家从车辆数据中提取洞察，以提升安全性和系统性能。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)EV

ManufacturersRMB

6OOK

mm

95OKRMB

1.1M

1.7MMobility

platformsRMB

55OK

90OKRMB

1.OM

1.5MAutomotive

Technology

FirmsRMB

58OK92OKRMB

1.

O5M

1.6Mwww.morganphil

AI

PerceptionEngineerJobFamily:computer

vision,3DDetection,scene

understanding,Autonomous

Driving

perceptiondrivingperceptionsystems.perception

technologyremainsoneofthemost

criticalcomponentsofintelligent

drivingsystems.Evmanufacturers

and

autonomous

driving

companies

continuetoexpand

perception

teams

to

improve

system

safety

and

real

world

performance.相关职位：计算机视觉、三维目标检测、场景理解、自动驾驶感知AI感知工程师负责开发用于检测车道、车辆、行人以及道路环境的视觉模型，是自动驾驶系统中的核心模块。感知技术直接影响智能驾驶系统的安全性与稳定性，因此整车厂和自动驾驶企业持续扩大感知算法团队规模，以提升系统在真实道路环境中的表现。Industry

sectorEntry-to-MidLevelsenior/Lead(8+yrs)EV

ManufacturersR

MB650OK1.OMRMB

1.2M

1.8MAutonomousDriving

FirmsR

MB7O

OK1.1MRMB

1.3M

2.OMAutomotive

Technology

vendorsRMB

6OOK

95OKRMB

1.1M

1.7Mwww.morganphil

平台型AI持续扩张：

中国已形成由互联网平台、云计算企业及AI创业公司推动的全球最大AI生态之一。目前已发布超过

1500个大语言模型，持续带动大模型工程师、算法工程师及AI基础设施人才的需求增长。

给工业AI加速落地：在“人工智能+”政策推动下，AI正在制造业及工业领域加速应用。全国已建成接近

1万家数字化车间和智能工厂，带动工业视觉工程师、机器人AI工程师及智能工厂数据科学家的招聘需求。

智能汽车持续增长：

中国仍是全球智能汽车与自动驾驶技术发展最快的市场之一

。新能源汽车企业及智能驾驶技术公司持续扩大对感知算法、传感器融合及车辆数据分析人才的招聘。

企业级AI应用扩展：AI应用正从互联网平台逐步扩展至物流、医疗及制造等企业场景，企业开始从实验阶段转向生产级部署和规模化应用。vplatform

AIExpansion