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. Requirements: 5+ years of experience with production Kubernetes, preferably on bare metal. Knowledge of NVIDIA GPU Operators, CUDA, and systems-level GPU configuration. Understanding of CNI plugins, networking, and storage systems like Ceph or Rook. Ability to operate in fast-paced, ambiguous environments and a modern tech mindset. Bonus: Automation skills, Kubernetes certifications, AI/ML familiarity, and documentation experience. Benefits: Competitive salary and equity package. Premium health, dental, vision, and life insurance for you and dependents. Flexible working schedule and workplace flexibility.