# Senior Solutions Engineer

**Company:** [Crusoe](https://hotfix.jobs/companies/crusoe)
**Location:** New York, NY
**Role:** Solutions Architecture
**Salary:** $155k – $200k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, Docker, AWS, GCP, Azure, Linux, Python, Bash, Terraform, PyTorch, Prometheus, Grafana
**Posted:** 2026-07-28

> Solutions Engineer helping enterprise customers deploy and optimize AI/ML workloads on Crusoe's GPU cloud infrastructure. Conduct technical discovery, deliver demos and PoCs, troubleshoot containerized workloads, and support migration from major cloud providers.

## Job Description

## What You'll Be Working On
- 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.

## What You'll Bring to the Team
- 2+ years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, HPC, 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: VPCs, subnets, load balancers, DNS, routing.
- Clear technical communication, comfortable presenting demos and writing documentation customers actually use.
- Customer-facing instincts: curiosity about business problems, composure under questions, and a bias toward follow-through.

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

## Benefits
- Competitive compensation and equity packages.
- Restricted Stock Units.
- Paid time off, paid holidays & leave of absence programs.
- Comprehensive health, dental & vision insurance.
- Employer contributions to HSA account.
- Paid parental leave.
- Paid life insurance, short-term and long-term disability.
- Professional development & tuition reimbursement.
- Mental health & wellness support.
- Commuter benefits (parking & transit).
- Cell phone stipend.
- 401(k) Retirement plan with company match up to 4% of salary.
- Volunteer time off.
- Global travel insurance & emergency assistance.
- Daily meals allowance.
- Additional perks & programs specific to location.

## Compensation Range
Compensation will be paid in the range of up to $155,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

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**Canonical:** https://hotfix.jobs/jobs/68a91b8e-c6b8-470c-a310-e356f1fabe08