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Senior Solutions Engineer

Crusoe Energy Systems · New York, United States

External listingfull-time5 days ago

About The Role

Join Crusoe Cloud as a Senior Solutions Engineer, where you'll help enterprise customers deploy AI/ML workloads on our high-performance GPU infrastructure. This hands-on role involves building environments, troubleshooting workloads, and ensuring successful customer onboarding. You'll work closely with Account Executives and senior Solutions Engineers, delivering technical demos, supporting technical discovery, and documenting product gaps. Based in our New York City office, you'll have the opportunity to make a significant impact in the rapidly growing field of AI and cloud computing.

  • Deliver technical demos and stand up PoC environments for customers evaluating Crusoe Cloud, with clearly defined success criteria and timely execution.
  • Support technical discovery alongside Account Executives, including mapping stakeholders, gathering requirements, and handling technical objections.
  • Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based stacks, optimizing for performance and cost.
  • Customer-facing instincts: curiosity about business problems, composure under questions, and a bias toward follow-through
  • Networking fundamentals: VPCs, subnets, load balancers, DNS, routing
  • 2+ years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, HPC, or GPU workloads
  • Clear technical communication, comfortable presenting demos and writing documentation customers actually use
  • Strong Linux command-line skills and scripting ability in Python or Bash
  • Experience deploying containerized workloads with Kubernetes or Docker
  • Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure rather than just consuming it
  • Experience with distributed training or inference frameworks (PyTorch, Ray, Kubeflow)
  • Infrastructure-as-Code experience (Terraform, Ansible, CloudFormation)
  • Monitoring and observability tooling (Prometheus, Grafana, Datadog, CloudWatch)
  • GPU cluster, InfiniBand/RoCE, or Slurm exposure
  • Public technical content such as talks, blog posts, or how-to guides

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