Crusoe
Senior Staff Solutions Engineer (NYC)
$175K–$250K
Denver, CO - US · On-site · Senior Staff · Full-time · Posted May 26, 2026
- Experience
- 7+ years building and deploying containerized workloads.
About the job
Guides strategic enterprise customers through deploying and optimizing AI/ML workloads on Crusoe’s GPU infrastructure, while connecting customer needs with Crusoe’s engineering and product teams.
What you'll do
- Lead customer onboarding, proofs of concept, deployment, and post-sale workload optimization.
- Architect and deploy Kubernetes-based ML workloads; support infrastructure performance and cross-cloud workload migration.
- Run workshops, demos, and solution reviews, and relay customer feedback to internal teams.
What they ask for
- 7+ years building and deploying containerized workloads; experience with Helm, Terraform, Docker, and multi-node orchestration.
- Demonstrated experience deploying ML frameworks on Kubernetes, particularly for inference and model training.
- Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure.
- Customer-facing technical engagement experience and proficiency with Linux and CLI troubleshooting.
Nice to have
- Experience with Ray, Kubeflow, or other distributed ML orchestration platforms; exposure to Slurm.
- Multi-cloud deployment or migration experience, especially AWS-to-Crusoe transitions; technical content contributions.
Pay
$175,000 - $250,000 USD base salary; bonus amount not specified
Tools
Kubernetes, Helm, Terraform, Docker, Ray, Kubeflow, MLflow, Airflow
AI focus
Supports customer AI/ML strategies by deploying and optimizing inference and model-training workloads on GPU infrastructure.
Model-written summary · the original posting is authoritative