Senior Specialist Field Engineers (Kubernetes, Security, Storage, Compute Infrastructure) at CoreWeave
Core
Senior Specialist Field Engineer owning the technical side of customer relationships for AI labs, including architecture, proofs of concept, and deep debugging of large GPU Kubernetes clusters.
Role type
Senior Specialist Field Engineer (Kubernetes, Security, Storage, Compute Infrastructure)
Builds
AI infrastructure solutions, proofs of concept, and deep technical debugging for large GPU clusters
Domain
Cloud Infrastructure, AI/ML, GPU Computing
Deliverable
production ML models
Required skills
Kubernetes operator development (Go/Rust), large-scale GPU cluster management, security architecture (identity, kernel, network), parallel filesystems (VAST, WEKA, Lustre), S3 internals, InfiniBand/RoCE fabric validation, bare metal provisioning, firmware/BMC/BIOS management
Preferred skills
GPU scheduling (device plugins, topology, MIG, RDMA), control plane scaling, Slurm integration, CNCF contributions, threat modeling (SOC 2/FedRAMP), confidential computing, Falco/Tetragon, DPU/GPU/secure boot, NFS-over-TCP debugging, checkpointing for AI training, CSI drivers, kernel contributions (NFS/Lustre/Ceph), GB200/GB300 hardware validation, NCCL acceptance
Technologies
Kubernetes, Go, Rust, GPU, InfiniBand, RoCE, VAST, WEKA, Lustre, S3, Falco, Tetragon, DPU, GB200, GB300, NCCL, PXE, BMC, BIOS
Responsibilities
Design and validate architecture for AI workloads, execute proofs of concept for customers, perform deep debugging of complex infrastructure issues, manage large-scale GPU clusters, secure infrastructure against threats, optimize storage systems for AI training
Seniority
Senior, hands-on IC
