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.
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.
CompanyPostsPeopleRecent job post
NVIDIAScientific and Technical Services · first seen Jan 202548713
"Advantage – knowledge at RDMA, UCX, DPDK, NCCL, SONiC, vLLM, SGlang and Network virtualization."Senior Software Engineer - AI Networking, Nov 7, 2026
AMDManufacturing · first seen Jan 20252338
"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)Information · first seen Aug 20251242
"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
ByteDanceScientific and Technical Services · first seen Feb 20251004
"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
AmazonRetail Trade · first seen Jul 2025583
"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
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.
Show the data
Month
Job posts naming SGLang
All job posts
Per 10,000
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.
March to May 202692
June to August 2026171
October 2025 to August 2026349
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 knowCompaniesShare
Job posts name SGLang
64482%
Employees' profiles list SGLang
14518%
789 companies. Each is counted once, under the strongest evidence we have for it.
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.
Share of its companies
Typical tech page
ShareTypical
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.
ShareTypical
United States
52%43%
India
7.3%6.9%
China
4.5%0.48%
United Kingdom
3.7%6.4%
Singapore
3.6%0.92%
Germany
2.9%4.4%
Companies in 48 countries and territories. Shares are of companies with a known headquarters country.
Show the data
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.
TeamCompanies
AI
9
Inference
9
Engineering
7
AI platform
6
Research
5
AI engineering
4
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.
Share of the 475 SGLang companies counted here whose job posts also name the tool
Typical for companies the same size
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.
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.
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.
RoleSharePosts
AI Engineer
22%398
Software Engineer
17%309
Machine Learning
11%188
Solutions Architect
5.1%90
Performance Engineer
3.3%59
Systems Engineer
2.8%50
Show the data
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 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 themeJob posts
Generative AI747
Digital Transformation248
Cloud Cost Optimization169
Data Infrastructure Migration13
"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.
