EngineeringOn-site

Senior Solutions Engineer

Crusoe · On-site

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Last seen by MeritLog September 9, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Crusoe's Ashby job board and last checked it on September 9, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: New York, NY - US
Occupation: Computer Systems Engineers/Architects(O*NET 15-1299.08)
Company website: www.crusoe.ai

Hiring context

How this role compares at Crusoe

Crusoe has 373 live roles in MeritLog’s catalog across 12 job families, and 135 of them are in engineering. 9 of those listings publish a pay range, a disclosure rate of 2%.

Crusoe concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

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 they're asking for

2+ years of hands-on experience building, deploying, or operating cloud infrastructure, with exposure to AI/ML, HPC, or GPU workloadsExperience
Hands-on proficiency with at least one major cloud provider (AWS, GCP, or Azure), deploying and managing infrastructure rather than just consuming itSkill
Experience deploying containerized workloads with Kubernetes or DockerSkill
Strong Linux command-line skills and scripting ability in Python or BashSkill
Networking fundamentals: VPCs, subnets, load balancers, DNS, routingSkill
Clear technical communication, comfortable presenting demos and writing documentation customers actually useSkill
Customer-facing instincts: curiosity about business problems, composure under questions, and a bias toward follow-throughSkill
Experience with distributed training or inference frameworks (PyTorch, Ray, Kubeflow)SkillPreferred
Infrastructure-as-Code experience (Terraform, Ansible, CloudFormation)SkillPreferred
GPU cluster, InfiniBand/RoCE, or Slurm exposureSkillPreferred
Monitoring and observability tooling (Prometheus, Grafana, Datadog, CloudWatch)SkillPreferred
Public technical content such as talks, blog posts, or how-to guidesSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: 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. This is a hands-on role where you'll build environments, troubleshoot workloads, and grow toward owning the technical win end-to-end. This role is based full-time (Monday through Friday) in our New York City office. 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. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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