code generation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, code generation appears in 345 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning code generation, with demand share down 5.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-11-05
Which roles want code generation?
Upload your resume and Skillenai will show which roles your code generation experience fits, which skills you already cover, and what is missing.
Frequently asked questions about code generation
+Is code generation in demand in 2026?
Yes. code generation appears in 345 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Software Engineer accounts for the most postings mentioning code generation (35.7% of all postings mentioning code generation).
+What jobs require code generation?
According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning code generation are Compiler Engineer (25.6% of that role’s postings mention code generation), C++ Developer (4.8% of that role’s postings mention code generation), Field Engineer (4.7% of that role’s postings mention code generation).
+What skills are commonly paired with code generation?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), code generation most often appears alongside Python, CI/CD, testing, observability, TypeScript.
+Where is code generation most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring code generation are New York City, San Francisco, Bengaluru, Silver Spring, Hyderabad, according to the Skillenai jobs index.
+How can I keep up with new code generation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning code generation alongside the jobs index. You can subscribe to a daily email digest of new code generation content from your Skillenai account.
+Which skills come before and after code generation?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring code generation — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around code generation
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before code generation
Skills after code generation
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: C# | 3 |
| Before: .NET | 2 |
| Before: large multi-modal models | 1 |
| Before: nightwatch | 1 |
| Before: Visual Basic | 1 |
| Before: Face recognition | 1 |
| Before: Azure DevOps | 1 |
| Before: MVVM | 1 |
| After: docker | 2 |
| After: kubernetes | 2 |
| After: ETL pipelines | 1 |
| After: Hugging Face Transformers | 1 |
| After: python | 1 |
| After: MYSQL | 1 |
| After: Query Optimization | 1 |
| After: PostgreSQL | 1 |
Roles most likely to require code generation
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Compiler Engineer | 10 | 25.6% |
| C++ Developer | 1 | 4.8% |
| Field Engineer | 3 | 4.7% |
| Data Engineer Intern | 1 | 4.2% |
| Developer Experience Engineer | 1 | 4.0% |
| AI Engineering Lead | 1 | 3.2% |
| AI Infrastructure Architect | 1 | 3.2% |
| Data Science Engineer | 1 | 3.1% |
| Software Engineering Technical Leader | 1 | 3.1% |
| AI Application Engineer | 1 | 2.9% |
Roles with the most code generation postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 123 | 35.7% |
| Compiler Engineer | 10 | 2.9% |
| Product Manager | 10 | 2.9% |
| Engineering Manager | 9 | 2.6% |
| Backend Engineer | 7 | 2.0% |
| Research Engineer | 7 | 2.0% |
| Deep Learning Compiler Engineer | 6 | 1.7% |
| Frontend Engineer | 6 | 1.7% |
| Business Systems Developer | 5 | 1.4% |
| Data Engineer | 5 | 1.4% |
Top companies posting jobs requiring code generation
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| NVIDIA | 25 |
| Cisco | 11 |
| Palo Alto Networks | 9 |
| ProSidian Consulting | 8 |
| NXP | 6 |
| Webflow | 6 |
| Bet365 | 5 |
| CLERA | 5 |
| PALO IT | 5 |
| JPMorgan Chase & Co. | 5 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for code generation
| Name | Postings | Share |
|---|---|---|
| New York City | 19 | 5.5% |
| San Francisco | 17 | 4.9% |
| Bengaluru | 8 | 2.3% |
| Silver Spring | 8 | 2.3% |
| Hyderabad | 7 | 2.0% |
| Toronto | 7 | 2.0% |
| Amsterdam | 6 | 1.7% |
| Bucharest | 6 | 1.7% |
| Tel Aviv | 6 | 1.7% |
Skills commonly paired with code generation
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-11-05. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning code generation by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s code generation postings by all code generation postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.2% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,472 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-07-07 to 2026-10-05 and 2026-08-04 to 2026-11-02 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 625362ea242e38a3
- data_as_of
- 2026-11-05
- window_days
- 90