Cedana

Forward Deployed Engineer: AI + HPC

This posting was open on Cedana's own careers board when we last checked it.

Employer: Cedana
Location: US · Remote (US)
Seniority: Mid level
Experience asked for: 6+ years
Pay band: $140K – $180K
Team: Backend

When we saw it

First seen 2026-07-23 — the first scan of ours that found it
Last seen open 2026-07-23
Archived 2026-07-23 — when we saved this copy

Found via Y Combinator Work at a Startup.

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.

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.

When we saw it

From the posting

What this tells you about the FDE role

Other Cedana FDE postings