Senior AI/ML Solutions Engineer — Kubernetes & GPU Infra

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

Benefits offered by this job

Competitive compensation

Equity

Paid time off

Health insurance

401(k)

Job summary

Crusoe is seeking a Solutions Engineer 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 with Account Executives to run technical discovery, deliver demos and PoCs, and ensure a successful land on the platform.

This hands-on role involves building environments, troubleshooting workloads, and growing toward owning the technical win end-to-end. Expected to work full-time in NYC, Monday–Friday.

Qualifications

• 2+ years of hands-on experience building, deploying, or operating cloud infrastructure with AI/ML, HPC, or GPU workloads.
• Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure.
• Experience deploying containerized workloads with Kubernetes or Docker.
• Strong Linux command-line skills and scripting ability in Python or Bash.
• Networking fundamentals: VPCs, subnets, load balancers, DNS, routing.
• Clear technical communication, comfortable presenting demos and writing documentation.
• Customer-facing instincts: curiosity about business problems, composure under questions, and a bias toward follow-through.

Responsibilities

• 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.
• Help customers adapt workloads from AWS, GCP, or Azure to Crusoe infrastructure, explaining tradeoffs along the way.
• Document product gaps and bugs from the field with the detail Engineering needs to reproduce them, and channel structured customer feedback to Product.
• Ensure clean post-sale handoffs by building transition docs and instance summaries so customer success teams start from a stable Day 1.

Skills

Cloud infrastructure

Kubernetes

Python

Linux

Networking

Technical communication

Customer-facing

Tools

Docker

Job description

Crusoe is seeking a Solutions Engineer 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 with Account Executives to run technical discovery, deliver demos and PoCs, and ensure a successful land on the platform.

This hands-on role involves building environments, troubleshooting workloads, and growing toward owning the technical win end-to-end. Expected to work full-time in NYC, Monday–Friday.