Senior AI Solutions Engineer — GPU Infra & Kubernetes

Crusoe; New York (NY); On-site; USD 155,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Equity packages

Paid time off

Job summary

Crusoe Cloud is seeking a Solutions Engineer (early-to-mid career through senior level) to help enterprise customers deploy AI/ML workloads on Crusoe's high-performance GPU infrastructure.

Based in our New York City office, you'll work alongside Account Executives and senior Solutions Engineers to run technical discovery, deliver demos and proofs of concept, and ensure customers land successfully on the platform.

Qualifications

• 2+ years building/deploying cloud infrastructure with AI/ML workloads.
• Hands-on with AWS, GCP, or Azure.
• Experience deploying containerized workloads with Kubernetes or Docker.
• Strong Linux CLI and scripting in Python or Bash.
• Clear technical communication and demo storytelling for customers.

Responsibilities

• Deliver technical demos and stand up PoC environments for customers evaluating Crusoe Cloud.
• Support technical discovery with Account Executives, mapping stakeholders and requirements.
• Deploy and troubleshoot containerized AI/ML workloads on Kubernetes-based stacks.
• Explain tradeoffs when adapting workloads from AWS, GCP, or Azure to Crusoe infrastructure.
• Document product gaps and bug reports with engineering teams; provide structured feedback.

Skills

Cloud infrastructure

AI/ML workloads

Kubernetes

Docker

Linux

Python/Bash scripting

Networking fundamentals

Technical communication

Customer-facing

Tools

Terraform

Ansible

CloudFormation

Job description

Crusoe Cloud is seeking a Solutions Engineer (early-to-mid career through senior level) to help enterprise customers deploy AI/ML workloads on Crusoe's high-performance GPU infrastructure.

Based in our New York City office, you'll work alongside Account Executives and senior Solutions Engineers to run technical discovery, deliver demos and proofs of concept, and ensure customers land successfully on the platform.