# Companies using SGLang

789 companies use SGLang, based on their job posts and their employees' public profiles. Its share of job posts jumped in the three months to August 2026, with 1,775 job posts naming it from October 2025 to August 2026. It comes up most in AI Engineer job posts.

Data as of November 9, 2026. Source: Sumble.

## Which companies name SGLang in the most job posts?

NVIDIA, AMD and Amazon Web Services (AWS) mention SGLang in the most job posts. Amazon Web Services (AWS) is the newest of the five companies in the table, with its first job post naming it in August 2025.

| Company | Job posts | People | Recent job post |
|---|---:|---:|---|
| [NVIDIA](https://sumble.com/orgs/nvidia) | 487 | 13 | "Advantage – knowledge at RDMA, UCX, DPDK, NCCL, SONiC, vLLM, SGlang and Network virtualization." (Senior Software Engineer - AI Networking, Nov 7, 2026) |
| [AMD](https://sumble.com/orgs/amd) | 233 | 8 | "Deep Learning Frameworks: Familiarity with AI frameworks such as PyTorch, JAX, vLLM or SGLang and with distributed training or inference concepts." (Distributed Systems Software Engineer, Collectives, Nov 4, 2026) |
| [Amazon Web Services (AWS)](https://sumble.com/orgs/amazon-web-services) | 124 | 2 | "Develop production inference stacks with engines such as SGLang and vLLM, and optimize throughput, latency, memory footprint, and cost per token through quantization…" (Forward Deployed Engineer (Model Customization and Optimization), AWS Forward Deployed Engineering, Nov 3, 2026) |
| [ByteDance](https://sumble.com/orgs/bytedance) | 100 | 4 | "Collaborate across teams to deliver world-class inference solutions using vLLM, SGLang, TensorRT-LLM, and other LLM engines." (Research Intern (Inference Infrastructure) - 2027 Start (PhD), Oct 23, 2026) |
| [Amazon](https://sumble.com/orgs/amazon) | 58 | 3 | "Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT" (software development engineer ii, bot management, amazon traffic engineering, Oct 7, 2026) |

## Is hiring for SGLang growing?

SGLang's share of job posts jumped: 1.4 in every 10,000 job posts from June to August 2026, up from 0.89 from March to May. August 2026 was its highest month since October 2025, at 1.7.

| Month | Job posts naming it | All job posts | Per 10,000 job posts |
|---|---:|---:|---:|
| Oct 2025 | 63 | 1,413,673 | 0.45 |
| Nov 2025 | 137 | 1,822,119 | 0.75 |
| Dec 2025 | 73 | 1,236,103 | 0.59 |
| Jan 2026 | 102 | 1,828,002 | 0.56 |
| Feb 2026 | 144 | 1,856,647 | 0.78 |
| Mar 2026 | 131 | 1,850,711 | 0.71 |
| Apr 2026 | 181 | 1,728,886 | 1.0 |
| May 2026 | 168 | 1,821,509 | 0.92 |
| Jun 2026 | 182 | 1,909,496 | 0.95 |
| Jul 2026 | 274 | 1,815,180 | 1.5 |
| Aug 2026 | 320 | 1,835,698 | 1.7 |

## How many companies named SGLang in a job post for the first time in recent months?

In the three months to August 2026, 171 companies posted about SGLang for the first time. From March to May, 92 did. That brings the companies naming it for the first time since October 2025 to 349, through August 2026.

| Period | Companies naming it in a job post for the first time |
|---|---:|
| March to May 2026 | 92 |
| June to August 2026 | 171 |
| October 2025 to August 2026 | 349 |

Companies whose first job post naming it appeared in that period. Recruiters, staffing firms and job boards are left out.

## How do we know which companies use SGLang?

Job posts carry most of the evidence for SGLang: 82% of these companies name it in posts they wrote. 145 come from employees' profiles alone.

| How we know | Companies | Share |
|---|---:|---:|
| Job posts name SGLang | 644 | 82% |
| Employees' profiles list SGLang | 145 | 18% |

## What size are the companies that use SGLang?

Smaller companies stand out among SGLang users: companies with fewer than 50 employees are 33% of them, against 22% on the typical tech page. 153 of its companies have more than 5,000 employees.

| Size | Share | Typical tech page |
|---|---:|---:|
| Under 50 employees | 33% | 22% |
| 50 to 999 | 37% | 38% |
| 1,000 to 5,000 | 11% | 17% |
| Over 5,000 | 19% | 23% |

## Where are SGLang companies based?

52% of SGLang companies are based in the United States. Its companies are based in 48 countries and territories.

| Country | Companies | Share | Typical tech page |
|---|---:|---:|---:|
| United States | 376 | 52% | 43% |
| India | 53 | 7.3% | 6.9% |
| China | 33 | 4.5% | 0.48% |
| United Kingdom | 27 | 3.7% | 6.4% |
| Singapore | 26 | 3.6% | 0.92% |
| Germany | 21 | 2.9% | 4.4% |

## Which teams work with SGLang?

AI and inference teams are tied as the most common home for SGLang, at 9 companies each. Third is engineering, at 7 companies.

| Team | Companies |
|---|---:|
| AI | 9 |
| Inference | 9 |
| Engineering | 7 |
| AI platform | 6 |
| Research | 5 |
| AI engineering | 4 |

## Which roles mention SGLang most?

AI Engineer is the most common role, in 22% of job posts naming SGLang. AI Engineer posts naming it numbered 99 from March to May 2026 and 174 from June to August.

| Role | Share | Oct 2025 to Aug 2026 | Mar to May 2026 | Jun to Aug 2026 |
|---|---:|---:|---:|---:|
| AI Engineer | 22% | 398 | 99 | 174 |
| Software Engineer | 17% | 309 | 87 | 121 |
| Machine Learning | 11% | 188 | 51 | 66 |
| Solutions Architect | 5.1% | 90 | 30 | 32 |
| Performance Engineer | 3.3% | 59 | 20 | 23 |
| Systems Engineer | 2.8% | 50 | 10 | 19 |

## Which companies started naming SGLang in job posts recently?

Between April and August 2026, 116 companies with 50 or more employees first named SGLang in a job post, 38 of them with more than 5,000 employees. Another 23 were AI-native companies, which we list separately.

| Group | Company | Job posts, April to August 2026 |
|---|---|---:|
| AI native | [Seekr](https://sumble.com/orgs/ntent) | 5 |
| AI native | [Plaud](https://sumble.com/orgs/plaudai) | 3 |
| AI native | [TwelveLabs](https://sumble.com/orgs/twelvelabs) | 3 |
| AI native | [YTL AI Labs](https://sumble.com/orgs/ytl-ai-labs) | 3 |
| AI native | [Sophea AI](https://sumble.com/orgs/sophea-ai) | 3 |
| Commercial | [Connex AI](https://sumble.com/orgs/connects-ai) | 7 |
| Commercial | [Lightbits Labs](https://sumble.com/orgs/lightbits-labs) | 6 |
| Commercial | [Caylent](https://sumble.com/orgs/caylent) | 4 |
| Commercial | [Innovative Defense Technologies (IDT)](https://sumble.com/orgs/innovative-defense-technologies-idt) | 4 |
| Commercial | [NeuReality](https://sumble.com/orgs/neureality) | 4 |
| Mid-market | [Innovaccer](https://sumble.com/orgs/innovaccer) | 6 |
| Mid-market | [GyanSys Inc.](https://sumble.com/orgs/gyansys) | 5 |
| Mid-market | [Netskope](https://sumble.com/orgs/netskope) | 4 |
| Mid-market | [HTX (Home Team Science & Technology Agency)](https://sumble.com/orgs/home-team-science-and-technology-agency-htx) | 4 |
| Mid-market | [iManage](https://sumble.com/orgs/imanage) | 4 |
| Enterprise | [HSBC](https://sumble.com/orgs/hsbc) | 10 |
| Enterprise | [UWV](https://sumble.com/orgs/uwv) | 5 |
| Enterprise | [ABB](https://sumble.com/orgs/abb) | 4 |
| Enterprise | [Nanyang Technological University Singapore](https://sumble.com/orgs/nanyang-technological-university) | 4 |
| Enterprise | [Wells Fargo](https://sumble.com/orgs/wells-fargo) | 3 |

Companies that named SGLang in a job post for the first time between April and August 2026, ranked by their job posts in those months. AI-native companies get a group of their own, whatever their size. Recruiters and job boards are left out.

## What else do SGLang companies use?

Compared with companies of the same size, SGLang companies stand out for using ROCm and XLA. Among the tools listed here, vLLM is the most widely used, at 95% of SGLang companies.

| Tool | Companies | Also name it | Typical | Times as common |
|---|---:|---:|---:|---:|
| ROCm | 57 | 12% | 0.04% | 287 times |
| XLA | 55 | 12% | 0.04% | 283 times |
| vLLM | 452 | 95% | 0.5% | 189 times |
| DeepSpeed | 129 | 27% | 0.17% | 164 times |
| NVIDIA Triton | 247 | 52% | 0.43% | 120 times |
| Qwen | 58 | 12% | 0.12% | 101 times |
| cuDNN | 24 | 5.1% | 0.05% | 100 times |
| SystemC | 36 | 7.6% | 0.08% | 94 times |

Shares are out of the 475 companies whose job posts name SGLang, not counting firms whose job posts name almost every technology.

## Which project themes come up in SGLang job posts?

Teams most often pair SGLang with Generative AI (747 job posts), then broad digital transformation, then Cloud Cost Optimization and Data Infrastructure Migration.

| Project theme | Job posts |
|---|---:|
| Generative AI | 747 |
| Digital Transformation | 248 |
| Cloud Cost Optimization | 169 |
| Data Infrastructure Migration | 13 |

- "Serve open-weight language models with engines such as vLLM, TensorRT-LLM or SGLang, tuned for both time to first token and throughput" (YAL, Senior ML Engineer - Inference and Model Serving, Nov 4, 2026)

## About this data

Sumble built this page. Sumble gives sales, marketing and other GTM teams technographics and hiring signals for the companies they sell to: the technologies each company uses, which teams are hiring and for what, and who reports to whom. That helps a team know who to contact, why now, and what to say.

Sumble covers more than 3.6 million companies, 93 million job posts collected since 2022 and 194 million employee profiles, and tracks more than 37,000 technologies. It finds which technologies a company uses by reading its job posts and its employees' public profiles.

Sumble has a free plan, and the same data is available through its API and MCP server.

A company counts when its own job posts or its employees' public profiles name the technology. Hiring is that technology's share of all job posts collected each month. Quotes are copied word for word from the companies' job posts.

Every figure on this page comes from Sumble's own analysis, and you won't find it outside Sumble.