Cedana
Forward Deployed Engineer: AI + HPC
We captured this posting once, on 2026-08-05, and did not track it afterwards — so we cannot tell you whether it is still open.
- Employer
- Cedana
- Location
- United States
- Seniority
- Mid level
- Experience asked for
- 3+ years
- Pay band
- $140K – $180K
When we saw it
- Posted 2026-07-25 — the date the employer published it
- Archived 2026-08-05 — when we saved this copy
Found via LinkedIn — US keyword pulls.
Skills the posting named
From the posting
Introducing Cedana The Problem AI and HPC infrastructure suffers from scarcity and high costs, so when failures happen they are costly in terms of time and money. Cluster productivity directly determines research output and revenue. Achieving high utilization and throughput is increasingly challenging due to the complexity of workloads, hardware, and operations. Cedana’s Solution Cedana maximizes AI+HPC cluster utilization and reliability with automated GPU checkpointing infrastructure. We enable transparent and fast migration of GPU workloads across instances, without losing work. Workloads automatically migrate to achieve new levels of reliability and throughput while accelerating time to results. Our system is at the kernel/OS level, requiring no code or config changes, and works seamlessly with Kubernetes, SLURM, and NVIDIA Dynamo. …
An excerpt. The full posting is Cedana's. Read it at the original source, if it is still up.
What this tells you about the FDE role
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