About the role
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. Today, we're deploying into leading inference platforms, neoclouds, enterprise, and research clusters.
The Team
Cedana's founding team has spent over a decade making computation run fast, productively, and reliably for AI. Our research appears in NeurIPS and CVPR. We published some of the earliest formal methods for guaranteeing convergence in distributed training. At Shopify we've deployed warehouse automation and robot fleets building behavior trees, fleet control planes, and OTA infrastructure that performs reliably over constrained networks. We bring repeat founder experience having built and exited a healthcare AI company.
The Role
What you’ll own
As a Forward Deployed Engineer at Cedana, you’ll lead and own technical engagement from end to end. You’ll engage with customers to understand and deploy in their environments: from production SLURM at a university, bare-metal Kubernetes at an inference provider, hybrid setup at a Fortune 100 Pharma enterprise. You’ll rapidly understand their key pain points, and use Cedana to solve their problems. For each customer you own everything from the OS up: SLURM plugins, Kubernetes operators, node configuration, networking, and observability.
