SGLang jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, SGLang appears in 295 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning SGLang, with demand share up 5.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about SGLang
+Is SGLang in demand in 2026?
Yes. SGLang appears in 295 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning SGLang (12.9% of all postings mentioning SGLang).
+What jobs require SGLang?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning SGLang are ML Platform Engineer (27.7% of that role’s postings mention SGLang), AI Research Intern (12.5% of that role’s postings mention SGLang), ML Infrastructure Engineer (10.4% of that role’s postings mention SGLang).
+What skills are commonly paired with SGLang?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), SGLang most often appears alongside vLLM, Python, TensorRT-LLM, PyTorch, Kubernetes.
+Where is SGLang most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring SGLang are San Francisco, Palo Alto, San Jose, Singapore, London, according to the Skillenai jobs index.
+How can I keep up with new SGLang content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning SGLang alongside the jobs index. You can subscribe to a daily email digest of new SGLang content from your Skillenai account.
+Which skills come before and after SGLang?
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 SGLang — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around SGLang
Skills documented before and after this skill across employer changes.
Not enough linked career history to draw this chart yet.
Roles most likely to require SGLang
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| ML Platform Engineer | 13 | 27.7% |
| AI Research Intern | 3 | 12.5% |
| ML Infrastructure Engineer | 5 | 10.4% |
| AI Infrastructure Engineer | 7 | 10.0% |
| Developer Relations Engineer | 3 | 9.4% |
| Tech Lead Manager | 2 | 9.1% |
| ML Systems Engineer | 3 | 7.3% |
| Applied ML Engineer | 1 | 4.8% |
| ML Research Engineer | 2 | 4.2% |
| Machine Learning Platform Engineer | 1 | 4.2% |
Roles with the most SGLang postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 38 | 12.9% |
| Machine Learning Engineer | 28 | 9.5% |
| ML Engineer | 17 | 5.8% |
| AI Field Engineer | 13 | 4.4% |
| ML Platform Engineer | 13 | 4.4% |
| Research Engineer | 13 | 4.4% |
| Forward Deployed Engineer | 9 | 3.1% |
| Backend Engineer | 8 | 2.7% |
| AI Infrastructure Engineer | 7 | 2.4% |
| Applied AI Inference Engineer | 5 | 1.7% |
Top companies posting jobs requiring SGLang
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Advanced Micro Devices Inc. | 20 |
| NVIDIA | 20 |
| Fireworks | 13 |
| Bjakcareer | 12 |
| Together AI | 12 |
| Nebius | 9 |
| xAI | 8 |
| RadixArk | 8 |
| Inferact | 7 |
| Thinking Machines | 6 |
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 SGLang
| Name | Postings | Share |
|---|---|---|
| San Francisco | 56 | 19.0% |
| Palo Alto | 21 | 7.1% |
| San Jose | 14 | 4.7% |
| Singapore | 13 | 4.4% |
| London | 12 | 4.1% |
| Santa Clara | 10 | 3.4% |
| San Mateo | 7 | 2.4% |
| Seoul | 7 | 2.4% |
| New York City | 6 | 2.0% |
Skills commonly paired with SGLang
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 SGLang by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s SGLang postings by all SGLang 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: 0.1% to 0.1%. 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 2,595 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (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
- 6d3969543b784250
- data_as_of
- 2026-09-30
- 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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