Triton jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Triton appears in 376 job postings indexed by Skillenai over the past 90 days — Machine Learning Engineer has the most postings mentioning Triton, with demand down 27% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Triton
+Is Triton in demand in 2026?
Yes. Triton appears in 376 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 27% vs the prior 4 weeks. Machine Learning Engineer accounts for the most postings mentioning Triton (16.5% of all postings mentioning Triton).
+What jobs require Triton?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Triton are Machine Learning Systems Engineer (22.2% of that role’s postings mention Triton), Machine Learning Platform Engineer (20.0% of that role’s postings mention Triton), ML Infrastructure Engineer (16.7% of that role’s postings mention Triton).
+What skills are commonly paired with Triton?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Triton most often appears alongside CUDA, PyTorch, Python, vLLM, C++.
+Where is Triton most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Triton are San Francisco, San Jose, Palo Alto, London, New York City, according to the Skillenai jobs index.
+How can I keep up with new Triton content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Triton alongside the jobs index. You can subscribe to a daily email digest of new Triton content from your Skillenai account.
Weekly job postings requiring Triton — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Triton
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Machine Learning Systems Engineer | 6 | 22.2% |
| Machine Learning Platform Engineer | 5 | 20.0% |
| ML Infrastructure Engineer | 8 | 16.7% |
| Machine Learning Infrastructure Engineer | 4 | 12.1% |
| ML Systems Engineer | 4 | 10.0% |
| Applied Research Engineer | 2 | 8.0% |
| AI Infrastructure Engineer | 5 | 7.4% |
| ML Ops Engineer | 3 | 7.3% |
| AI Research Engineer | 6 | 6.2% |
| ML Researcher | 2 | 6.2% |
Roles with the most Triton postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Machine Learning Engineer | 62 | 16.5% |
| Software Engineer | 43 | 11.4% |
| Research Engineer | 24 | 6.4% |
| ML Engineer | 22 | 5.9% |
| ML Performance Engineer | 10 | 2.7% |
| AI Engineer | 9 | 2.4% |
| Engineering Manager | 9 | 2.4% |
| MLOps Engineer | 9 | 2.4% |
| ML Infrastructure Engineer | 8 | 2.1% |
| Machine Learning Performance Engineer | 7 | 1.9% |
Top metros hiring for Triton
| Name | Postings | Share |
|---|---|---|
| San Francisco | 52 | 13.8% |
| San Jose | 23 | 6.1% |
| Palo Alto | 19 | 5.1% |
| London | 17 | 4.5% |
| New York City | 17 | 4.5% |
| Santa Clara | 13 | 3.5% |
| Singapore | 12 | 3.2% |
| Mountain View | 11 | 2.9% |
| San Mateo | 9 | 2.4% |
Skills commonly paired with Triton
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 Triton by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Triton postings by all Triton 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).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- d2cb1788a02d6571
- data_as_of
- 2026-09-28
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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