Senior Ai Workload Platform Engineer - Radian Arc

Submer

EMEA
**
Cloudstack platform maintenance
Kubernetes gpu scheduling
Slurm hpc scheduling
** Submer is seeking a Senior AI Workload Platform Engineer for its Radian Arc team, focusing on building and maintaining a GPU-native cloud platform for AI and high-performance workloads. The role involves deep engineering work with CloudStack, Kubernetes, and other orchestration tools to enhance the existing infrastructure and support distributed AI workloads. **

Job Summary

  • Design, build, and operate the compute orchestration layer powering a GPU-native cloud platform for AI and high-performance workloads.
  • Maintain and evolve the existing CloudStack-based deployments while actively contributing to the design and implementation of the next-generation compute platform built around Kubernetes, Slurm, and Argo.
  • Implement GPU scheduling strategies including MIG, multi-GPU job placement, and topology-aware scheduling for distributed training and inference.

Matching Summary

Match Score: 75

** Submer is seeking a Senior AI Workload Platform Engineer for its Radian Arc team, focusing on building and maintaining a GPU-native cloud platform for AI and high-performance workloads. The role involves deep engineering work with CloudStack, Kubernetes, and other orchestration tools to enhance the existing infrastructure and support distributed AI workloads. **

Skills & Requirements

Must-have

  • CloudStack platform maintenance
  • Kubernetes GPU scheduling
  • Slurm HPC scheduling
  • Argo Workflows orchestration
  • Open vSwitch and OVN networking
  • KVM and QEMU hypervisors
  • GPU passthrough implementation

Nice-to-have

  • low latency and improved economics
  • monetization of 5G investments
  • multi-tenant compute platform

Key Requirements

  • Permanent, full-time contract
  • EMEA remote work modality

Work Rights

Not specified

Tailored Resume

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