Automotive Companies Hiring in Tokyo
17 companies with 348 open permanent roles in Tokyo, tracked daily from each company's own careers page.
- 17
- 348
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Market Snapshot
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Automotive Companies Hiring in Tokyo
17 companies with 348 open permanent roles in Tokyo, tracked daily from each company's own careers page.
17 companies with 348 open permanent roles in Tokyo, tracked daily from each company's own careers page.
Woven by Toyota posts the most Product Management roles here: 13 of 23 across 7 employers, ahead of KINTO Technologies (3).
Woven by Toyota accounts for 34% of open roles here.
Postings here state remote or hybrid work in 49% of cases, against 27% across all tracked postings.
Free to join. Set your terms, stay hidden, and hear only from roles that state them.
Postings stating a minimum experience most often ask for 3 years; 50% ask for five or more, against 36% across all tracked postings.
Daily total across the 14 companies tracked through the whole period. Companies added mid-period are excluded until the window catches up to them. As of October 3, 2026 · tracked daily since August 17, 2026
Automotive in Tokyo · 118 postings with comparable stated pay, from 8 employers
median ¥8,500,000 · 118 postings
¥7,000,000
Typical advertised range
¥10,000,000
Postings by Advertised Range
Under ¥4M
1
¥4M–5.9M
12
¥6M–7.9M
30
How hiring on this page compares with its wider market, on the same measures.
Compared with Automotive employers across Japan (20 companies).
State a Japanese Level
Native/Fluent (Native or JLPT N1)
13%
Professional Working Proficiency (JLPT N2)
18%
No mention
69%
State an English Skill
Native/Fluent (TOEIC 945-990)
5%
Share of postings stating each term
5-9 years of experience
26%
3-4 years of experience
23%
Management experience
14%
University degree
12%
1-2 years of experience
9%
Counts on this page come from AirTA's own daily checks of each company's careers page. When a number cannot be measured reliably, it is hidden rather than estimated. Industry describes the company, not the individual role, so an employer with several businesses appears under each industry it operates in. Report a data issue.
| Turing |
| 1003_【新卒】ソフトウェアエンジニア / Software Engineer（自動運転システム, MLOps） | Turing |
| 3041_インフラエンジニア / Infrastructure Engineer（GPUクラスタ） | Turing |
| 1002_【新卒】MLエンジニア / Machine Learning Engineer（End-to-End AI・フィジカル基盤モデル） | Turing |
| 3030_ソフトウェアエンジニア / Software Engineer（エッジ推論最適化） | Turing |
| 3011_ソフトウェアエンジニア / Machine Learning Systems Engineer | Turing |
| 2015_MLエンジニア / Machine Learning Engineer（自動運転 世界モデル／動画生成モデル開発） | Turing |
| EN_3011_Software Engineer (Machine Learning Systems Engineer) | Turing |
| 3031_ソフトウェアエンジニア / Software Engineer（自動運転システム開発） | Turing |
| EN_2010_Machine Learning Engineer（E2E Autonomous Driving Model Development） | Turing |
| 6064_ファイナンスマネージャー | Turing |
| 3012_ソフトウェアエンジニア/ Performance Optimization Engineer（大規模学習基盤） | Turing |
| 0001_【ポジションサーチ】カジュアルに話す | Turing |
| 3040_インフラエンジニア・プラットフォーム開発 / Infrastructure Engineer・ML Platform Engineering・SRE (GPUクラスタ) | Turing |
| 4001_自動運転車両エンジニア（Autonomous Vehicle Engineer） | Turing |
| 6061_法務 | Turing |
| EN_2015_Machine Learning Engineer (Autonomous Driving — World Model / Video Generation Model Development) | Turing |
| 4000_車両整備士・メカニック / Fleet Technician（データ収集車両・自動運転車両） | Turing |
| 【BGSJ】BGSW_SDS_SAP PPDS Consultant (JP_R148) / SAPファンクショナルコンサルタント | Bosch |
| BGSW_SDS_SAP Development lead-R29 | Bosch |
| BGSW_SDS_Project Manager(Bilingual)-R125 | Bosch |
| JP_BGSWP_SDS_SAP Logistics Consultant-R107 | Bosch |
¥8M–9.9M
25
¥10M–11.9M
31
¥12M–13.9M
14
¥14M–15.9M
4
¥16M+
1
| Roles closed per employer (30 days) | Not enough postings on this page to compare. | ||
| Median days a role stays open | Not enough postings on this page to compare. | ||
| Postings stating a salary | 34% | 45% |
| Median advertised salary | ¥8,500,000 | ¥7,800,000 |
| Classified postings requiring English (E1 or above) | 59% | 50% |
| Classified postings needing daily English (E3 or above) | 21% | 25% |
| Management-level titles | 9% | 9% |
Counts are per-employer averages; shares are across all live postings on October 2, 2026. English rows use the English-level classification (a subset of postings), so they differ from the share of postings mentioning English in the Market Snapshot. A row is hidden when either side has too few postings to compare fairly.
Professional Working Proficiency (TOEIC 785-944)
24%
Limited Working Proficiency (TOEIC 550-784)
5%
Mentioned, level not specified
6%
No mention
59%
Parsed from 348 live postings with readable descriptions. A posting can state both languages.
Master's degree
7%
10+ years of experience
6%
Share of postings stating each term
Stakeholder Management
27%
Project Management
24%
Data Analysis
11%
Excel
11%
PowerPoint
6%