About the job
At Crusoe, we are on a mission to drive the proliferation of energy and intelligence in the digital age. We are developing an innovative platform that enables individuals to harness the power of AI for ambitious projects, all while ensuring unparalleled scale, speed, and sustainability.
Join us at the forefront of the AI revolution, where sustainable technology meets transformative cloud infrastructure. At Crusoe, you will be part of a team that is committed to meaningful innovation and making a significant impact.
About the Role:
We are looking for a Senior to Senior Staff level Solutions Engineer to collaborate closely with our key enterprise clients as they deploy AI and machine learning workloads on Crusoe's cutting-edge GPU infrastructure. This role is hands-on and customer-centric, requiring extensive technical knowledge in Kubernetes, MLOps, and cloud infrastructure.
You will lead clients through the entire deployment journey, overseeing the proof of concept (PoC) process, optimizing workloads after the sale, and serving as an essential technical liaison between our clients and engineering teams. Successful candidates will possess a strong passion for AI infrastructure, be proficient in containerized environments, and have the ability to effectively translate workloads across various cloud platforms.
What You'll Be Working On:
Customer Enablement: Spearhead the technical onboarding and deployment of sophisticated AI/ML workloads with strategic enterprise customers—taking ownership of the PoC through to post-sales optimization.
Kubernetes + MLOps Focus: Design and implement ML workloads utilizing Kubernetes-based technologies (e.g., Ray, Kubeflow) while ensuring optimal performance, scalability, and efficiency.
Infrastructure-Centric Thinking: Engage directly with Crusoe infrastructure to deploy and fine-tune AI/ML workloads, guaranteeing performance at both the container and hardware levels.
Cross-Cloud Translation: Assist clients in migrating and adapting workloads across AWS, Azure, and GCP, while clearly articulating the trade-offs between cloud-native and Crusoe-native strategies.
Technical Storytelling: Facilitate workshops, live demonstrations, and solution reviews. Contribute to case studies, solution briefs, and blog articles that showcase real-world customer success stories.
Voice of the Customer: Provide feedback to internal engineering and product teams to continuously enhance Crusoe’s platform based on practical implementation experiences.
What You'll Bring to the Team:
Deep Kubernetes Expertise: 7+ years of experience in building and deploying containerized applications.

