Senior Staff Solutions Engineer
Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.
Maintainer signals as of 8/23/2026
Funding history
Projects
About Crusoe
Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead technical onboarding and complex AI and machine learning deployments for strategic enterprise customers. You will own proofs of concept through post-sale optimization, architect Kubernetes and MLOps infrastructure, optimize workloads at the container and hardware level, translate deployments across clouds, conduct workshops and demos, and communicate customer feedback to internal teams.
Requirements
- 7+ years building and deploying containerized workloads
- Deep Kubernetes expertise
- Experience with Helm, Terraform, Docker, and multi-node orchestration
- Demonstrated success deploying Ray, MLflow, or Airflow on Kubernetes
- Experience with inference and model training workflows
- Knowledge of compute, storage, networking, and scaling in AWS, GCP, or Azure
- Experience translating workloads across cloud platforms
- Ability to lead technical engagements and gather requirements
- Strong Linux and command-line proficiency
- Experience supporting customers in pre-sales and post-sales environments
- Experience with distributed ML orchestration platforms is a bonus
- Exposure to Slurm is a bonus
- Multi-cloud deployment or migration experience is a bonus
Responsibilities
- Lead technical onboarding and deployment of complex AI and machine learning workloads
- Own the proof-of-concept process through post-sale optimization
- Architect and deploy ML workloads using Kubernetes-based stacks
- Balance infrastructure performance, scalability, and efficiency
- Deploy and optimize workloads at the container and hardware level
- Help customers migrate and adapt workloads across AWS, Azure, and GCP
- Conduct workshops, live demos, and solution reviews
- Contribute to case studies, solution briefs, and blog posts
- Relay customer feedback to engineering and product teams
Benefits
- Restricted Stock Units
- Paid time off
- Paid holidays
- Leave of absence programs
- Comprehensive health insurance
- Dental insurance
- Vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance
- Short-term disability insurance
- Long-term disability insurance
- Professional development
- Tuition reimbursement
- Mental health support
- Wellness support
- Commuter benefits for parking and 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 location-specific perks and programs