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Crusoe

Builds AI data centers near cheap energy

Senior Solutions Engineer

Pre-Sales Solution Engineering +1Confirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 2 years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, high-performance computing, or GPU workloads.
  • Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure rather than just consuming it.
  • Experience deploying containerized workloads with Kubernetes or Docker.
  • Strong Linux command-line skills and scripting ability in Python or Bash.
  • Networking fundamentals, including virtual private clouds, subnets, load balancers, DNS, and routing.
  • Clear technical communication, including comfort presenting demos and writing customer-useful documentation.
  • Customer-facing instincts, including curiosity about business problems, composure under questions, and follow-through.

Responsibilities

  • Deliver technical demos and stand up proof-of-concept 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.
  • Help customers adapt workloads from AWS, GCP, or Azure to Crusoe infrastructure and explain the tradeoffs.
  • Document product gaps and bugs from the field with enough detail for Engineering to reproduce them, and channel structured customer feedback to Product.
  • Ensure clean post-sale handoffs by building transition documents and instance summaries so customer success teams start from a stable Day 1.

Desired Qualifications

  • Experience with distributed training or inference frameworks such as PyTorch, Ray, or Kubeflow.
  • Infrastructure-as-Code experience with Terraform, Ansible, or CloudFormation.
  • GPU cluster, InfiniBand/RoCE, or Slurm exposure.
  • Experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, or CloudWatch.
  • Public technical content such as talks, blog posts, or how-to guides.

About the Company

Crusoe

Builds AI data centers near cheap energy

Crusoe builds and runs data centers for artificial intelligence, placing them near cheap or otherwise wasted energy and handling everything from the power supply to the cloud software. It developed the flagship campus in Abilene, Texas, for Stargate, the AI infrastructure project backed by OpenAI and Oracle. AI companies rent its GPU servers on demand or under longer contracts through Crusoe Cloud to train and run their models, while larger customers lease entire campuses that Crusoe develops and operates for them. The company was founded in 2018, when it began running computers at oil fields on natural gas that would otherwise have been burned off, and it is based in Denver.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$14.5B
Headquarters
Denver, CO
Founded
2018

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