Red Hat
Forward Deployed Engineer, AI Inference (vLLM and Kubernetes)
We captured this posting once, on 2026-05-22, and did not track it afterwards — so we cannot tell you whether it is still open.
- Employer
- Red Hat
- Location
- California, United States · Texas, United States · Washington, United States
- Seniority
- Senior
- Experience asked for
- 8+ years
- Pay band
- $185K – $305K
When we saw it
- Posted 2026-05-10 — the date the employer published it
- Archived 2026-05-22 — when we saved this copy
Found via LinkedIn — US keyword pulls.
Skills the posting named
From the posting
The vLLM and LLM-D Engineering team at Red Hat is looking for a customer obsessed developer to join our team as a Forward Deployed Engineer. In this role, you will not just build software; you will be the bridge between our cutting-edge inference platform (LLM-D, and vLLM) and our customers' most critical production environments. You will interface directly with the engineering teams at our customer to deploy, optimize, and scale distributed Large Language Model (LLM) inference systems. You will solve "last mile" infrastructure challenges that defy off-the-shelf solutions, ensuring that massive models run with low latency and high throughput on complex Kubernetes clusters. This is not a sales engineering role, you will be part of the core vLLM and LLM-D engineering team. What You Will Do Orchestrate Distributed Inference: Deploy and configure LLM-D and vLLM on Kubernetes clusters. …
An excerpt. The full posting is Red Hat's. Read it at the original source, if it is still up.
What this tells you about the FDE role
One posting is one data point. Read it alongside the rest of the archive and the market analysis — the seniority you actually need, what the role pays across levels, and which employers hire for it. If you are working out whether your background fits, start with the scorecard.
Other Red Hat FDE postings
- Forward Deployed Engineer, AI Inference (vLLM and Kubernetes) Texas, United States
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