Member of Technical Staff - GPU Infrastructure

Role overview Design and deploy high-performance GPU infrastructure for demanding AI and high-performance computing workloads. This customer-facing position combines architecture, hands-on implementation, and technical guidance, helping clients plan and operate clusters ranging from hundreds to thousands of GPUs.

Responsibilities - Gather workload needs and design GPU cluster architectures suited to client requirements. - Develop technical proposals and capacity plans for large-scale deployments. - Plan infrastructure for model training, inference, and high-performance computing. - Present architecture recommendations to both technical teams and executive stakeholders. - Deploy and configure cluster orchestration systems, including SLURM and Kubernetes. - Tune infrastructure for performance, reliability, and effective accelerator use.

Requirements - Experience designing and deploying large-scale GPU infrastructure. - Practical familiarity with cluster orchestration, including SLURM and Kubernetes. - Ability to translate workload needs into architecture and capacity recommendations. - Strong customer communication skills, including presenting technical designs. - Track record of operating reliable, high-performance systems.

Benefits and work setup - Full-time role, based in San Francisco or remotely. - Stated cash compensation range of $150,000–$300,000, plus equity incentives.