AI Infrastructure Engineer

Description: Work directly with customers to deploy GPU infrastructure from bare metal to production-ready environments. Lead technical deployments, optimize infrastructure, validate Kubernetes, and ensure customer self-sufficiency. Document playbooks and provide feedback to engineering and product teams. Collaborate with sales during pre-sales engagements for proof of value. Requirements: 5+ years of experience with production Kubernetes, preferably on bare metal. Practical knowledge of NVIDIA GPU Operators and CUDA tooling. Deep understanding of networking fundamentals and persistent storage systems. Ability to operate in fast-paced, ambiguous environments and a modern tech mindset. Bonus: Experience with automation scripting, Kubernetes certifications, AI/ML familiarity, and documentation skills. Benefits: Competitive salary and equity package. Premium health, dental, vision, and life insurance for you and dependents. Flexible working schedule and workplace flexibility.