Member of Technical Staff (Software Engineer, GPU Cluster Infrastructure)

📋 Description

• Own infrastructure to run training and inference workloads on GPU clusters.
• Build a self-serve platform for inference engineers and researchers.
• Operate the GPU fleet across providers with unified provisioning.
• Develop scheduling, placement, and fault tolerance for GPUs.
• Manage Kubernetes for GPU orchestration and multi-cluster ops.
• Ensure reliability and observability of the platform.

🎯 Requirements

• Deep Kubernetes experience with custom operators and CRDs.
• Experience managing GPU clusters, NVIDIA hardware, CUDA, networking.
• Experience across multiple clouds (CoreWeave, AWS, GCP or similar).
• Strong distributed systems fundamentals: scheduling, resource allocation, fault tolerance.
• Proficiency in Go, Rust or C++ for infra and systems code.