Senior GPU Infrastructure Architect for Frontier AI

Prime Intellect; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 300,000; Full time

Benefits offered by this job

Equity incentives

Job summary

Prime Intellect is building the open superintelligence stack, delivering a full-stack platform for post-training at frontier scale. You will design GPU cluster architectures, plan capacity for large-scale deployments, and develop deployment strategies for LLM training and HPC workloads.

You will optimize networking, file systems, and driver stacks while maintaining 24/7 support for critical customer deployments.

Qualifications

• 3+ years hands-on experience with GPU clusters and HPC environments.
• Deep expertise with SLURM and Kubernetes in production GPU settings.
• Proven experience with InfiniBand configuration and troubleshooting.
• Strong understanding of NVIDIA GPU architecture, CUDA ecosystem, and driver stack.
• Experience with infrastructure automation tools (Ansible, Terraform).
• Proficiency in Python, Bash, and systems programming.
• Track record of customer-facing technical leadership.

Responsibilities

• Partner with clients to understand workload requirements and design optimal GPU cluster architectures.
• Create technical proposals and capacity planning for clusters ranging from 100 to 10,000+ GPUs.
• Develop deployment strategies for LLM training, inference, and HPC workloads.
• Present architectural recommendations to technical and executive stakeholders.
• Deploy and configure orchestration systems including SLURM and Kubernetes for distributed workloads.
• Implement high-performance networking with InfiniBand, RoCE, and NVLink interconnects.
• Optimize GPU utilization, memory management, and inter-node communication.
• Configure parallel filesystems for optimal I/O performance.
• Tune system performance from kernel parameters to CUDA configurations.
• Serve as primary technical escalation point for customer infrastructure issues.
• Diagnose and resolve complex problems across the full stack.
• Implement monitoring, alerting, and automated remediation systems.
• Provide 24/7 on-call support for critical customer deployments.
• Create runbooks and documentation for customer operations teams.

Skills

GPU clusters

SLURM

Kubernetes

InfiniBand

CUDA ecosystem

Python

Terraform

Ansible

Customer leadership

Tools

Docker

Containerd

Lustre

Job description

Prime Intellect is building the open superintelligence stack, delivering a full-stack platform for post-training at frontier scale. You will design GPU cluster architectures, plan capacity for large-scale deployments, and develop deployment strategies for LLM training and HPC workloads.

You will optimize networking, file systems, and driver stacks while maintaining 24/7 support for critical customer deployments.