TensorRT is a software development kit (SDK) and inference optimization runtime developed by Nvidia for deploying trained deep learning and machine learning models on graphics processing units (GPUs). It can import models from frameworks such as PyTorch, TensorFlow, and ONNX, and compile them into optimized runtime engines for low-latency and high-throughput inference.
15 jobs · 8 companies · last seen 9 October 2026
There are currently 15 open roles in Berlin that mention TensorRT, posted by 8 companies. It frequently pairs with LLM, Machine Learning, Python. Seen most in AI/ML (5% of their roles) and genAI/LLM/Agentic AI (3% of their roles) and Leadership (1% of their roles). Across those roles, 93% list it as required and 0% as nice-to-have.
Frequently asked questions
- How many TensorRT jobs are available in Berlin right now?
- There are currently 15 open roles in Berlin that mention TensorRT, posted by 8 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 TensorRT?
- Companies currently listing the most TensorRT roles include: Nebius, Orcrist, JetBrains, ICEYE, MOTOR Ai.
- What skills pair well with TensorRT?
- Employers who ask for TensorRT also frequently require: LLM (93%), Machine Learning (93%), Python (87%), vLLM (67%), Kubernetes (60%).
- In which Berlin job roles is TensorRT most in demand?
- Based on current listings, TensorRT appears most in: AI/ML (5%), genAI/LLM/Agentic AI (3%), Leadership (1%) roles.
Frequently paired with
By seniority
- Mid 47% (7)
- Head / Director / VP / C-Level 27% (4)
- Senior 20% (3)
- Staff / Principal 7% (1)
By job family
% of open roles in each family that mention TensorRT
- AI/ML 5% (5/95)
- genAI/LLM/Agentic AI 3% (6/231)
- Other 1% (3/336)
- Leadership 1% (1/72)
By company
Top companies looking for TensorRT
-
Nebius 7 -
Orcrist 2 -
JetBrains 1 -
ICEYE 1 -
MOTOR Ai 1 -
Helsing 1 -
sensmore 1 -
DAiNA Inc. 1
Open roles mentioning TensorRT
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