Technical Lead - GPU Infrastructure

📋 Description Own the end-to-end platform architecture, including architecture proposals, high-level and Lead and line-manage a distributed engineering team across backend, frontend, DevOps, QA, and Establish engineering standards, oversee code and design reviews, manage release gates, conduct Design, build, and operate a managed Slurm service supporting research and model-training workloads. Own Slurm controllers, accounting, partitions, login nodes, node onboarding, acceptance testing Lead GPU infrastructure operations on bare-metal environments, including NVIDIA drivers, CUDA 🎯 Requirements 8+ years of hands-on engineering experience, including at least 3 years leading teams responsible Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent Extensive hands-on experience operating Slurm in production, including slurmctld, slurmdbd Experience operating HPC or GPU training clusters for research or model-development users. Strong experience operating NVIDIA GPU fleets on bare metal, including driver and CUDA lifecycles Deep knowledge of InfiniBand, subnet configuration, RDMA, SR-IOV, and diagnosing multi-node NCCL 🎁 Benefits 100% remote position. Opportunity to lead the architecture and delivery of a sophisticated GPU infrastructure platform. High-impact technical leadership role spanning bare-metal GPU infrastructure, Slurm, Kubernetes Leadership responsibility for a distributed engineering organization across multiple technical Significant ownership over architecture, engineering standards, delivery planning, and team Direct involvement with infrastructure partners and hardware providers.