China Semiconductor Tooling Talent Atlas

Can China staff its chip-tooling push?

Chinese toolmakers are adding products and R&D staff. The harder test is whether they can build the field engineers, service teams, calibration routines, and customer-support systems that make equipment work in fabs.

A full essay will publish separately. This site holds the underlying source record.

Beta public-source monitor · counts reflect source coverage, not workforce size · methodology

Reader paths

Start with the question you have

The public record shows scale before customer-site depth

Most coverage of China's chip-tooling push tracks product launches: a new etch platform from Shanghai, a deposition tool out of Shenyang, a metrology product tied to a domestic fab. Those launches matter, but they only begin the vendor-side question: whether the firm shipping the tool can install it, tune it, match it across chambers, recover it after maintenance, and support repeat deployment inside a customer's ramp.

  1. 01

    Broad STEM totals miss the toolmaking mix

    The hard roles combine disciplines: plasma with RF hardware, ALD chemistry with vacuum behavior, optics with algorithms, and precision motion with calibration.

  2. 02

    Listed-firm filings are the clearest workforce window

    AMEC, ACM Research Shanghai, NAURA, and Piotech disclose more useful detail than education statistics: R&D scale, technical staff, degree mix, after-sales categories, and product-family breadth.

  3. 03

    Customer-site support is the hardest layer to see

    Product pages show ambition; filings show parts of the organization. Public sources rarely show installation practice, chamber matching, field calibration, service training, or recovery after maintenance.

Sources cited
43
Direct & proxy evidence rows
143
Tool segments tracked
4
Firm workforce snapshots
4

03Exhibits

What the workforce question requires

Why broad STEM numbers are too blunt

Each row is an MOE-coded discipline. A marked cell means the catalogue lists that segment among the discipline's most relevant tooling segments.

DisciplineEtch, clean, and stripDepositionMetrology and inspectionLithography sidebar
Integrated Circuit Science and Engineering集成电路科学与工程MOE 1401· Academic disciplineBest single cross-disciplinary anchor for semiconductor device, process, equipment, and integration training.
Physics物理学MOE 0702· Academic disciplineFeeds plasma physics, optics, surface interactions, sensing physics, and measurement models.
Chemistry化学MOE 0703· Academic disciplineCore for wet clean, strip chemistry, precursor chemistry, surface reactions, and contamination control.
Mechanical Engineering机械工程MOE 0802· Academic disciplineNeeded for chambers, stages, thermal structures, vacuum hardware, and precision assemblies.
Optical Engineering光学工程MOE 0803· Academic disciplineMost direct academic source for imaging optics, illumination design, alignment, and optical metrology.
Instrument Science and Technology仪器科学与技术MOE 0804· Academic disciplineFits measurement systems, calibration, sensors, automation, and precision instrumentation.
Materials Science and Engineering材料科学与工程MOE 0805· Academic disciplineImportant for films, chamber materials, corrosion, residues, and film reliability.
Electronic Science and Technology电子科学与技术MOE 0809· Academic disciplineLinks devices, microelectronics, process, and equipment understanding.
Control Science and Engineering控制科学与工程MOE 0811· Academic disciplineCritical for equipment automation, stage control, RF control loops, and stable tool behavior.
Computer Science and Technology计算机科学与技术MOE 0812· Academic disciplineRelevant for defect classification, image software, SPC integration, simulation, and tool software.
Chemical Engineering and Technology化学工程与技术MOE 0817· Academic disciplineUseful for gas delivery, reaction engineering, process scale-up, and wet-process systems.
Electronic Information电子信息MOE 0854· Professional degree categoryMajor applied-engineering pipeline for integrated systems, microelectronics-adjacent implementation, and tool software/control.
Mechanical Engineering机械MOE 0855· Professional degree categoryStrong applied pipeline for equipment design, assembly, vacuum hardware, and precision mechatronics.
Materials and Chemical Engineering材料与化工MOE 0856· Professional degree categoryStrong applied pipeline for films, chemistries, cleaning, precursors, and process engineering.

Source: MOE 2022 graduate catalogue. Cells map disciplines to segments; they do not count graduates working in equipment firms.

Talent supply

Where might the talent come from?

The supply page maps official counts, feeder disciplines, visible institutions, and city supply-demand joins. It does not claim to measure tool-specific graduate output.

Open supply page ->

What listed firms disclose

Each firm shows only the categories it discloses. Read denominators and source status before comparing across firms.

Shanghai

AMEC

AMEC logo
  • Etch, clean, and strip
  • Deposition

AMEC is the clearest public anchor for the etch story, with disclosed R&D staffing that points to a science-heavy equipment organization.

How to read this number
Read
AMEC's R&D scale supports the view that its etch story is being built through a research-heavy organization. Advanced etch depends on plasma behavior, chamber design, materials interaction, and process control.
Stronger signal
Growth in field application engineers, service training, chamber matching, advanced-memory validation, and repeat customer deployment.
Reasonable inference
The filing supports an R&D-intensive reading of AMEC. It leaves customer-support depth unresolved.
Do not infer
Do not infer etch-specific service depth or installed-base support from the R&D count.
R&D personnel
1,548

Denominator: Firm-level R&D personnel headcount.

The filing does not split this total by etch, deposition, service, or customer-ramp work.

Source checked
R&D personnel, share of total staff
52.24%

Denominator: Total staff, as disclosed in the filing.

Use as an R&D intensity signal. Segment-specific staffing would need a separate disclosure.

Source checked
Doctoral researchers in R&D
280

Denominator: R&D personnel.

Filing-disclosed count of PhD holders inside the R&D layer.

Source checked
Master's researchers in R&D
616

Denominator: R&D personnel.

Filing-disclosed count of master's holders inside the R&D layer; together with the 280 PhDs this gives the 57.88% master's-or-doctoral share within R&D.

Source checked
Doctoral degree holders, company-wide
291

Denominator: Company-wide.

Filing-disclosed absolute count; the checked filing sections do not disclose a company-wide total-employee figure, so a share cannot be computed.

Source checked
Master's degree holders, company-wide
989

Denominator: Company-wide.

Filing-disclosed absolute count; the checked filing sections do not disclose a total-employee denominator.

Source checked
After-sales / field-service headcount
Not disclosed

Denominator:

The checked filing sections do not break out an after-sales or field-service category.

Not disclosed
  • Etch, clean, and strip
  • Deposition

ACM Research Shanghai makes the wet-clean and strip workforce layer more visible than most firms, especially through technical and service-heavy disclosures.

How to read this number
Read
ACM's after-sales service category is the closest disclosed measure in this set to customer-site support. That matters because clean and strip tools depend heavily on process support at the fab.
Stronger signal
A split between field service, installation, applications engineering, and tool-family support.
Reasonable inference
ACM gives a stronger public service signal than firms that disclose only R&D and degree mix.
Do not infer
Do not infer clean-specific staffing or customer success from the aggregate after-sales number.
Total employees
2,485

Denominator: Whole firm.

Company-level total; it cannot be read as clean/strip-specific headcount.

Source checked
Technical personnel
1,228

Denominator: Technical personnel, as disclosed by the firm.

Technical-staff category as filed; do not relabel as R&D.

Source checked
Technical personnel, share of total employees
49.42%

Denominator: Total employees, as disclosed by ACM Research Shanghai.

Share signal; do not add to R&D or service categories.

Source checked
After-sales service personnel
672

Denominator: Whole firm.

Filing-disclosed after-sales / service category; the only clean post-sale headcount among the four firms in this dossier set.

Source checked
Master's degree or above, company-wide
708

Denominator: Total employees.

Filing-disclosed absolute count of master's-and-above across the firm.

Source checked
Master's or doctoral share within technical personnel
Not disclosed

Denominator: Technical personnel.

The filing reports master's-and-above company-wide but does not break that group down inside the technical-personnel category.

Not disclosed
  • Deposition
  • Etch, clean, and strip

NAURA gives the strongest scale signal among the listed equipment firms in this layer, but its breadth makes segment attribution especially risky.

How to read this number
Read
NAURA's scale marks it as a broad equipment group. Its R&D and customer-service figures show organizational mass, while tool-family depth remains blurred.
Stronger signal
Headcount or hiring split by etch, deposition, furnace, wet, service, and applications roles.
Reasonable inference
NAURA has visible organizational scale across equipment categories.
Do not infer
Do not read whole-firm R&D or service categories as deposition-specific or etch-specific depth.
Total employees
21,101

Denominator: Whole firm.

Broad equipment group workforce figure.

Source checked
Production personnel
8,065

Denominator: Total employees.

Filing-disclosed production category; spans the full equipment group.

Source checked
Sales and customer-service personnel
3,950

Denominator: Total employees.

Filing-disclosed sales-and-customer-service category; the sales-expense increase was partly attributed to growth in this team.

Source checked
Technical personnel
6,511

Denominator: Total employees.

Filing-disclosed technical-staff category; equals the R&D-personnel figure in this filing.

Source checked
R&D personnel
6,511

Denominator: Total employees.

Firm-level R&D scale signal for the broad equipment group.

Source checked
R&D personnel, share of total employees
30.86%

Denominator: Total employees.

R&D intensity signal. Filing role labels and job-posting role labels do not map cleanly.

Source checked
Doctoral researchers in R&D
268

Denominator: R&D personnel.

Filing-disclosed count of PhD holders inside the R&D layer.

Source checked
Master's researchers in R&D
4,137

Denominator: R&D personnel.

Filing-disclosed count of master's holders inside the R&D layer.

Source checked
Master's degree or above, company-wide
6,271

Denominator: Total employees.

Company-wide count of master's-and-above degree holders.

Source checked
Headcount by tool family
Not disclosed

Denominator:

The filing does not split production, R&D, or service headcount by tool family within the equipment group.

Not disclosed

Shenyang

Piotech

Piotech logo
  • Deposition

Piotech is the dedicated deposition vendor in this dossier set; the 2025 financing report supplies its first source-checked workforce figures.

How to read this number
Read
Piotech keeps the deposition story from being swallowed by NAURA. Its filings show R&D concentration and deposition product breadth. Customer-support capacity remains unresolved.
Stronger signal
Application and service capacity tied to PECVD, ALD, SACVD, HDPCVD, and Flowable CVD product families.
Reasonable inference
Piotech is a focused deposition vendor with visible R&D investment.
Do not infer
Do not infer mature installed-base support from deposition product breadth alone.
R&D personnel (as of 2025-06-30)
638

Denominator: Total staff at the reporting date.

Filing-disclosed R&D personnel; the financing report is dated September 2025 and reports the position as of 30 June 2025.

Source checked
R&D personnel, share of total staff
40.66%

Denominator: Total staff at the reporting date.

R&D intensity signal for a deposition-focused vendor.

Source checked
Doctoral researchers in R&D
53

Denominator: R&D personnel.

Filing-disclosed count of PhD holders inside the R&D layer.

Source checked
Master's researchers in R&D
384

Denominator: R&D personnel.

Filing-disclosed count of master's holders inside the R&D layer.

Source checked
After-sales / installed-base support headcount
Not disclosed

Denominator:

The financing report does not break out a full after-sales or installed-base support category.

Not disclosed

Categories vary across firms. R&D share, technical staff, service staff, and advanced-degree counts should stay separate.

  • Source checked
  • Needs check
  • Staging
  • Not disclosed

How to read the scale

The firm numbers sit inside a wider talent constraint. Use them as context for disclosure strength and avoid country scorecard readings.

Talent is a global semiconductor constraint

New fabs and tool supply chains are creating demand for engineers, technicians, and customer-support roles faster than many training systems can supply them.

Framing sources: Deloitte, SIA/Oxford, and McKinsey entries in the ledger.

China's broad STEM pipeline stops short of the toolmaking question

China's broad STEM pipeline gives domestic toolmakers a large upstream pool. The question is whether that pool converts into plasma, thin-film, optics, controls, service, and applications teams.

Framing sources: CSET STEM PhD work and MOE disciplines.

Support organizations separate product claims from production tools

Mature equipment vendors compete through installed-base support, applications engineering, spare parts, training, and field service. Chinese filings show pieces of this structure. Tool-family splits remain inconsistent.

Framing sources: firm filings and the comparator frame.

How to read a toolmaker workforce signal

Mature equipment firms run more than R&D. Installed-base work depends on field service, applications engineering, calibration, training, spare parts, and customer support. Chinese filings show parts of that structure and rarely show the full customer-site layer.

Chinese focus

AMEC

Reference peers

Lam Research

Etch and process equipment

Compare on

  • R&D scale
  • etch product families
  • customer-validation language
  • field application and service signals

Do not compare on

  • capability parity
  • installed-base quality
  • yield performance

Reader use: Use Lam Research as a mature-market reference for the support functions that matter after an etch product leaves the lab.

Chinese focus

NAURA / Piotech

Reference peers

Applied Materials / Tokyo Electron

Deposition and broad process equipment

Compare on

  • deposition product breadth
  • thin-film R&D scale
  • service and customer-support structure
  • repeat-order or validation language

Do not compare on

  • tool equivalence
  • node readiness
  • market-share parity

Reader use: Use mature deposition suppliers as a reference for the gap between product breadth and production support.

Chinese focus

ACM Research Shanghai

Reference peers

SCREEN / Lam Research / Tokyo Electron

Clean and wafer processing

Compare on

  • wet-clean and strip product coverage
  • service-heavy workforce language
  • customer validation by tool family
  • maintenance and recovery signals

Do not compare on

  • wafer-processing equivalence
  • installed-base depth
  • customer yield impact

Reader use: Use mature clean and wafer-processing suppliers to read why installation, tuning, maintenance, and recovery matter alongside product listings.

Chinese focus

Jingce / BEIM / Skyverse

Reference peers

KLA

Metrology and inspection

Compare on

  • optics and inspection product categories
  • algorithm and calibration roles
  • field-support language
  • customer-specific workflow signals

Do not compare on

  • yield-management capability
  • defect-library quality
  • tool matching

Reader use: Use KLA as a reference for why metrology is as much a service and data problem as a hardware problem.

Chinese focus

SMEE

Reference peers

ASML / Nikon / Canon

Lithography sidebar

Compare on

  • optics
  • stage control
  • alignment
  • service calibration

Do not compare on

  • EUV readiness
  • overlay performance
  • customer yield

Reader use: Use lithography peers only to frame the role mix. Keep lithography as a sidebar in this release.

References frame what disclosures can mean. They do not rank firms, claim parity, or measure performance.

Chinese toolmakers to watch

Each cell describes how the public record places a firm in a segment. Cell labels report source coverage, not capability.

FirmEtch / clean / stripDepositionMetrology / inspectionLithography-adjacent
AMECShanghai
Source checkedSource checkedNo current public rowNo current public row
Source checkedSource checkedNo current public rowNo current public row
Source checkedPublic product recordNo current public rowNo current public row
PiotechShenyang
No current public rowSource checkedNo current public rowNo current public row
No current public rowNo current public rowPublic product recordNo current public row
No current public rowNo current public rowPublic product recordWatchlist
No current public rowNo current public rowNeeds source checkNo current public row

Cell labels

  • Source checkedA source-checked public record places this firm in this segment.
  • Public product recordA public product page or filing lists this segment for the firm.
  • WatchlistCarried as a context sidebar for this firm.
  • Needs source checkLight dossier; full filing not yet reviewed in this ledger.
  • No current public rowNo source in the current ledger maps this firm here.

Source: firm dossiers. Cells summarise public-record coverage, not tool performance.

04Geography

Source coverage by city

This map shows where the beta dataset has public records. Large nodes usually mean filings, park documents, shortage notices, or official sources are easier to observe there. They do not count engineers, workforce size, or city capability.

City source coverage · province outline

Source coverage by city

The map shows where this beta dataset has public records. Node size tracks source-backed records, not engineers, workforce size, or city capability.

Node size = source-backed records in this datasetProvince outline for orientation. City placement is approximate.

05Visibility

Where filings stop short

Lab-to-fab chain

The hard part starts after the product claim

Visibility falls off step by step. Product breadth and R&D headcount are disclosed first; customer-site routines rarely are.

  1. 01

    Build the tool

    Product teams turn process knowledge, chambers, optics, controls, software, and subsystems into a tool family that can leave the lab.

  2. 02

    Install at the customer site

    Field engineers and service teams bring the tool into a fab, connect it to local utilities and workflows, and start the customer-specific setup.

  3. 03

    Tune the process window

    Application engineers adjust recipes, chamber behavior, measurements, and defect feedback until the tool fits the customer's production flow.

  4. 04

    Keep it stable

    Support teams handle calibration, maintenance recovery, chamber matching, spare parts, and training so repeat deployment does not depend on one-off hero work.