Solutions Engineer (Dublin)

Crusoe
Dublin
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Collaboration","Problem-solving"]

Senior+ Solutions Engineer to work with strategic enterprise customers deploying AI/ML workloads on Crusoe’s GPU infrastructure. You will own end-to-end deployment from PoC to post-sale optimization, architect Kubernetes-based stacks, translate workloads across AWS/Azure/GCP, and collaborate with engineering, product, and sales to drive customer success.

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FursaFursa
Crusoe
Crusoe
1 year ago

Solutions Engineer (Dublin)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Senior+ Solutions Engineer to work with strategic enterprise customers deploying AI/ML workloads on Crusoe’s GPU infrastructure. You will own end-to-end deployment from PoC to post-sale optimization, architect Kubernetes-based stacks, translate workloads across AWS/Azure/GCP, and collaborate with engineering, product, and sales to drive customer success.
Location: Dublin
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the PoC through to post-sales optimization.
  • •Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow); design infrastructure balancing performance, scalability, and efficiency.
  • •Deploy and optimize AI/ML workloads directly on Crusoe infrastructure, ensuring performance at the container and hardware level.
  • •Help customers migrate and adapt workloads across AWS, Azure, and GCP; explain tradeoffs between cloud-native and Crusoe-native approaches.
  • •Conduct workshops, live demos, and solution reviews; contribute to case studies, solution briefs, and blog posts highlighting customer success

Pay and Benefits

Perks:PensionHealth InsuranceLife InsuranceIncome Protection401k

Key Requirements

  • •Kubernetes expertise with 3-5 years building and deploying containerized workloads; experience with Helm, Terraform, Docker, and multi-node orchestration
  • •MLOps deployment experience with ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes for inference and model training
  • •Hands-on cloud infrastructure knowledge across AWS, GCP, or Azure; ability to translate workloads across clouds
  • •Customer-facing technical confidence; ability to gather requirements and lead technical engagements in pre- and post-sales
  • •Strong Linux and CLI proficiency; comfortable troubleshooting infrastructure issues via CLI
Experience:AiCloudKubernetesMlopsEnterprise
Skills:CommunicationCollaborationProblem-solving
Tech Stack:KubernetesRayKubeflowMLflowDockerHelmTerraformAWSAzureGCPLinuxCLI

Company Brief

Crusoe
Builds vertically integrated, energy-first AI infrastructure and purpose-built AI data centers (Crusoe Cloud), leveraging clean/stranded energy to power large-scale GPU compute for AI training and inference.
Industry: Data Centers
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: Denver, United States
Founded: 2018
Glassdoor
Glassdoor: 3.7
WebsiteLinkedInGlassdoor