Senior Staff Solutions Engineer

11 Days Old

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.
Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now. 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. Understand and explain 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 real-world implementation experience.
What You'll Bring to the Team:
Deep Kubernetes Expertise: 7-10 years building and deploying containerized workloads. Experience with 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 to make customers successful.
Bonus Points
Experience with Ray, Kubeflow, or other distributed ML orchestration platforms
Exposure to Slurm, with primary focus on containerized MLOps over traditional HPC
Multi-cloud deployment or migration experience (especially AWS Crusoe transitions)
Content contributions (tech talks, blogs, 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, 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 Calm app
MetLife Legal
Company-paid commuter benefit; $200/month
Compensation Range Up to $245,000 - $290,000 per year + Bonus, including RSUs. Compensation depends on experience, education, and internal equity.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status.
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Location:
San Francisco, CA
Salary:
$150

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