How many SGLang jobs are available in Berlin right now?

There are currently 8 open roles in Berlin that mention SGLang, posted by 4 companies. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.

Which companies in Berlin are hiring for SGLang?

Companies currently listing the most SGLang roles include: Nebius, Orcrist, LawZero, NVIDIA.

What skills pair well with SGLang?

Employers who ask for SGLang also frequently require: vLLM (100%), LLM (100%), Python (88%), Machine Learning (88%), Fine-tuning (75%).

In which Berlin job roles is SGLang most in demand?

Based on current listings, SGLang appears most in: genAI/LLM/Agentic AI (2%), Product Manager (2%), Data Engineer (1%) roles.

SGLang

ML & AI ML & AI Frameworks

SGLang is an open-source framework for fast, structured serving of large language models, optimizing complex generation workloads like agent and multi-call pipelines.

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8 jobs · 4 companies · last seen 29 September 2026

There are currently 8 open roles in Berlin that mention SGLang, posted by 4 companies. It frequently pairs with vLLM, LLM, Python. Seen most in genAI/LLM/Agentic AI (2% of their roles) and Product Manager (2% of their roles) and Data Engineer (1% of their roles).

Frequently asked questions

How many SGLang jobs are available in Berlin right now?: There are currently 8 open roles in Berlin that mention SGLang, posted by 4 companies. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.
Which companies in Berlin are hiring for SGLang?: Companies currently listing the most SGLang roles include: Nebius, Orcrist, LawZero, NVIDIA.
What skills pair well with SGLang?: Employers who ask for SGLang also frequently require: vLLM (100%), LLM (100%), Python (88%), Machine Learning (88%), Fine-tuning (75%).
In which Berlin job roles is SGLang most in demand?: Based on current listings, SGLang appears most in: genAI/LLM/Agentic AI (2%), Product Manager (2%), Data Engineer (1%) roles.