MLIR Jobs

3 MLIR jobs currently listed

Browse 3 open positions that require MLIR 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

  • 3 companies hiring
  • Mostly Senior roles
  • Often paired with Python, PyTorch, Triton, JAX
  • Top locations: Aachen, London, Rijswijk

Market insights

Blacksemiconductor is currently the most active employer hiring for MLIR.

Seniority mix

  • Senior 67%
  • Staff 33%

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.

Blacksemiconductor 1 week ago

Senior Software Compute Architect (f/m/d)

Aachen, Germany - English

LLVM MLIR Triton PyTorch JAX +2
Innatera 2 months ago
On-site

Senior NPU SDK Software Engineer

Rijswijk, Netherlands - English

Python PyTorch
Cohere 17 months ago Open for 529+ days
Remote

Member of Technical Staff, Training Performance Engineer

London, United Kingdom (Remote) - English

Python JAX PyTorch CUDA Triton +2

Frequently Asked Questions

How many MLIR jobs are available right now?
There are currently 3 open positions that list MLIR as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires MLIR?
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.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find MLIR jobs that don't use a particular framework or language.
Are salary ranges accurate?
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.