SkillTrendLab
Skill · Tools · Production and delivery

ONNX

The cross-framework model exchange format.

2.4%
of core AI postings mention it
85
postings
72
companies

History starts on September 11, 2026. Movement needs a comparable later edition at least 30 days on.

Where it is mentioned most

Each row divides by that role's postings in this edition, highest share first.

Reading this edition

Postings in 9 role families mention ONNX in this edition.

None of the 8 role families with a page of their own mentions ONNX in one posting in five or more.

ONNX is more concentrated in Computer Vision Engineer postings (10.6%) than across all core AI postings (2.4%): at least twice the overall share.

How the readings are made: "more concentrated than overall" means that in a role family with a page of its own, at least 10 postings mention the skill and its share is at least 2 times its share of all core AI postings; "common" means at least 20% of a role's postings mention it. They describe the postings open in this edition, not a trend.

  1. 12 of 113 postings · at least twice overall
  2. MLOps / Platform Engineer10.5%
    4 of 38 postings · Sample below the page threshold; not read
  3. 6 of 123 postings
  4. 12 of 321 postings
  5. AI Researcher3.3%
    2 of 60 postings · Sample below the page threshold; not read
  6. 42 of 1,741 postings
  7. 3 of 175 postings
  8. 2 of 305 postings
  9. 1 of 225 postings

Skills that appear with it

Each share divides by the postings that mention ONNX: how many of them also mention each skill, grouped into three lenses.

Foundations and problem-solving

Categories: Languages, Machine learning, Data engineering, Databases, Methods and process

  1. Python91.8%
    Languages · 78 postings
  2. C++65.9%
    Languages · 56 postings
  3. Machine learning · 48 postings
  4. Machine learning · 48 postings
  5. Methods and process · 41 postings
  6. Edge AI38.8%
    Machine learning · 33 postings
  7. MLOps37.6%
    Machine learning · 32 postings

Production and delivery

Categories: DevOps, Cloud, Tools

  1. Tools · 57 postings
  2. Linux44.7%
    DevOps · 38 postings

Framework, LLM and domain signals

Categories: Frameworks, LLM applications, Domain knowledge, Office software

  1. PyTorch81.2%
    Frameworks · 69 postings
  2. Frameworks · 53 postings
  3. LLM42.4%
    LLM applications · 36 postings

Industries and places

Share of this skill's postings.

Industry
  1. Software & Internet
    45
    52.9%
  2. Semiconductor
    12
    14.1%
  3. Electronics & Hardware
    12
    14.1%
  4. Professional Services
    5
    5.9%
  5. Manufacturing
    4
    4.7%
  6. Healthcare & Biotech
    3
    3.5%
  7. Telecom, Media & Digital Content
    2
    2.4%
  8. Government & Nonprofit
    2
    2.4%
Place
  1. Taipei
    36
    42.4%
  2. Hsinchu City
    13
    15.3%
  3. New Taipei
    10
    11.8%
  4. Hsinchu County
    9
    10.6%
  5. Taoyuan
    7
    8.2%
  6. Tainan
    3
    3.5%
  7. Taichung
    3
    3.5%
  8. Kaohsiung
    2
    2.4%
  9. Changhua
    1
    1.2%
  10. Yunlin
    1
    1.2%

Where this number is read from

Of the 85 postings, how many were found through the employer's own skill tags, the title, and the job description. A posting can carry more than one kind of evidence, so the three add up to more than the posting count.

  1. Employer's skill tags
    0
  2. Job title
    0
  3. Job description
    85
The data on this page
Data as of
September 11, 2026
Core AI postings this edition
3,523
Method version
2026.09.1

This page is not indexed yet: change needs a second edition.