TensorRT-LLM Jobs
7 TensorRT-LLM jobs currently listed
Browse 7 open positions that require TensorRT-LLM experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 4 companies hiring
- Mostly Senior roles
- Often paired with PyTorch, Kubernetes, Python, JAX
- Top locations: Amsterdam, London, Zurich
Market insights
Nebius is currently the most active employer hiring for TensorRT-LLM.
Seniority mix
- Senior 43%
- Mid 29%
- Staff 14%
- Principal 14%
Top hiring companies
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Staff Machine Learning Engineer, LLM Inference Optimization
Amsterdam, Netherlands +5 - English
Forward Deployed Engineer, Physical AI Infrastructure
Remote (29 countries) - English
Senior Software Engineer (Serverless)
Amsterdam, Netherlands +1 - English
ML Infrastructure Engineer
Amsterdam, Netherlands +2 (Remote) - English
Principal Architect, AI/ML
Remote (EU) - English
Frequently Asked Questions
- There are currently 7 open positions that list TensorRT-LLM as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find TensorRT-LLM jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.