Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. About the Role: Crusoe Cloud is seeking a Staff Solutions Engineer to work closely with our most strategic enterprise customers deploying AI/ML workloads on Crusoe’s high-performance GPU infrastructure. This is a hands-on, customer-facing role requiring deep technical expertise in Kubernetes, MLOps, and cloud infrastructure. You’ll guide customers through end-to-end deployment—owning the PoC process, optimizing workloads post-sale, and serving as a critical technical voice between our customers and engineering teams. Ideal candidates are passionate about AI infrastructure, fluent in containerized environments, and confident translating workloads across cloud platforms. What You'll Be Working On: Customer Enablement: Lead technical onboarding and deployment of complex AI/ML workloads with strategic enterprise customers—owning the PoC through to post-sales optimization. Kubernetes + MLOps Focus: Architect and deploy ML workloads using Kubernetes-based stacks (e.g., Ray, Kubeflow). Design infrastructure that balances performance, scalability, and efficiency. Infrastructure-Centric Thinking: Deploy and optimize AI/ML workloads directly on Crusoe infrastructure, ensuring performance at the container and hardware level. Cross-Cloud Translation: Assist customers in migrating and adapting workloads across AWS, Azure, and GCP, understanding tradeoffs between cloud- and Crusoe- approaches. Technical Storytelling: Conduct workshops, live demos, and solution reviews. Contribute to case studies, solution briefs, and blog posts highlighting real-world customer success. Voice of the Customer: Relay feedback to internal engineering and product teams to improve Crusoe’s platform based on implementation experience. What You'll Bring to the Team: Deep Kubernetes Expertise: 5-7 years building and deploying containerized workloads with experience in Helm, Terraform, Docker, and multi-node orchestration. MLOps Deployment Experience: Success deploying ML frameworks (e.g., Ray, MLflow, Airflow) on Kubernetes, especially for inference and training workflows. Hands-on Cloud Infrastructure Knowledge: Familiarity with compute, storage, networking, and scaling in AWS, GCP, or Azure. Experience translating workloads across clouds is highly desirable. Customer-Facing Technical Confidence: Ability to navigate stakeholder conversations, gather requirements, lead technical engagements, and support customers pre- and post-sales. Strong Linux and CLI Proficiency: Comfortable operating in Linux environments and troubleshooting infrastructure issues via CLI. Collaborative Energy: Strong communication skills and eagerness to partner cross-functionally with Engineering, Product, and Sales teams. Bonus Points Experience with Ray, Kubeflow, or other distributed ML orchestration platforms. Exposure to Slurm, with a primary focus on containerized MLOps over traditional HPC. Multi-cloud deployment or migration experience, especially AWS to Crusoe transitions. Content contributions such as tech talks, blogs, or public case studies. Benefits: Hybrid work schedule Industry competitive pay Restricted Stock Units in a fast-growing, well-funded tech company Health insurance options including HDHP and PPO, vision, and dental for you and dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term Teladoc 401(k) with 100% match up to 4% Generous paid time off and holidays Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company-paid commuter benefit: $200/month Compensation Range: Up to $215,000 - $250,000 per year plus bonus. Restricted Stock Units are included in all offers. Compensation will depend on the applicant's knowledge, education, and abilities, as well as internal equity and market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, genetic information, citizenship, marital status, veteran status, or any other protected status by law.

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