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This listing was closed on Aug 19, 2026.
Browse Open JobsSenior Staff Solutions Engineer (NYC)
Summary by AIEngineer.careers
Senior Staff Solutions Engineer (NYC) is a AI Solutions Architect role (full-time). with Crusoe. in DENVER, US. Compensation shown: $175K–$250K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
DENVER · US
$175K–$250K
Full-time
STAFF
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Crusoe Cloud seeks a Senior Staff Solutions Engineer to lead deployment of AI/ML workloads on their high-performance GPU infrastructure. The role involves customer-facing technical onboarding, Kubernetes/MLOps architecture, and cross-cloud migration. Candidates need deep expertise in Kubernetes, MLOps, and cloud infrastructure.
Responsibilities
- Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers
- Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow)
- Optimize AI/ML workloads directly on Crusoe infrastructure at container and hardware level
- Help customers migrate workloads across AWS, Azure, and GCP
- Conduct workshops, live demos, and solution reviews
- Relay customer feedback to engineering and product teams
Requirements
- 7+ years building and deploying containerized workloads with Kubernetes, Helm, Terraform, Docker
- Demonstrated success deploying ML frameworks (Ray, MLflow, Airflow) on Kubernetes
- Hands-on cloud infrastructure knowledge (AWS, GCP, or Azure)
- Customer-facing technical confidence
- Strong Linux and CLI proficiency
Crusoe
Denver · US · 1039+ employees
Crusoe is an AI factory company focused on accelerating energy and intelligence abundance. They provide next-generation AI infrastructure and cloud compute solutions by deploying AI-optimized data centers and utilizing an energy-first approach.
