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.