AI infrastructure teams build the compute, networking and platforms that large models train and run on. The work sits between systems engineering and machine learning, so postings mix low-level performance skills with cloud operations.
We analyzed 105 U.S. job descriptions from 49 employers for AI Infrastructure roles. The most requested skills were Python (49%), Roadmapping (30%) and Kubernetes (26%).
904open U.S. roles tracked
5 yearstypical experience asked for
$224,000median advertised pay, from 219 roles that state it
Languages
Python49%
C++24%
Java18%
SQL10%
Go8%
TypeScript8%
Rust6%
Product & design
Roadmapping30%
Agile12%
Project management6%
Cloud & infrastructure
Kubernetes26%
Distributed systems21%
CI/CD21%
Linux19%
AWS18%
Docker15%
Azure11%
Google Cloud10%
Microservices6%
Terraform6%
AI & machine learning
LLMs26%
Machine learning23%
Generative AI13%
PyTorch10%
MLOps6%
Updated November 7, 2026, using job descriptions collected since October 8, 2026. Shares show how many of the sampled descriptions mention a skill, so a low share can still be a firm requirement in the roles that list it. We sample a limited number of descriptions per employer so that no single company dominates, and we only report figures backed by several employers. Advertised pay comes from a different group of roles than H1B filings, so the two are not directly comparable.
