ashby
ML Cluster Operations Engineer
TensorWave
Las Vegas, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
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Role Overview
We are seeking an exceptional Machine Learning Engineer who has made training and AI workload scheduling a specialty. This is a senior-level role for someone who has significant experience managing distributed machine learning workloads at scale using Slurm and/or Kubernetes.
As a technical visionary and hands-on expert, you will lead the evolution of our managed Slurm and Kubernetes offerings, as well as internal health checking and cluster automation.
Key Skills for This Role
SlurmKubernetesPyTorchMPIMegatronEnroot
Full Job Posting
ML Cluster Operations Engineer (Slurm / K8s)
At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.
About the Role
We are seeking an exceptional Machine Learning Engineer who has made training and AI workload scheduling a specialty. This is a senior-level role for someone who has significant experience managing distributed machine learning workloads at scale using Slurm and/or Kubernetes.
As a technical visionary and hands-on expert, you will lead the evolution of our managed Slurm and Kubernetes offerings, as well as internal health checking and cluster automation.
Key Responsibilities
- Manage and iterate our containerized Slurm (Slurm-in-Kubernetes) solution, including customer configuration and deployment.
- Work closely with our engineering team to develop and maintain CI and automation for managed offerings.
- Ensure healthy cluster operations and uptime by implementing active and passive health checks, including automated node draining and triage.
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