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Prime Intellect · 4 months ago

Member of Technical Staff - GPU Infrastructure

San Francisco

Full-time

Onsite

Mid Level

3+ years exp

Prime Intellect is enabling the next generation of AI breakthroughs by assisting customers in deploying and optimizing GPU clusters. As a Solutions Architect for GPU Infrastructure, you will transform customer requirements into production-ready systems for training advanced AI models, while also designing optimal GPU cluster architectures and providing technical support.

Artificial Intelligence (AI)Cloud Computing

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 (Lustre, BeeGFS, GPFS) 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 - hardware, drivers, networking, and software

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

Qualification

GPU cluster architectureSLURMKubernetesNVIDIA GPU architectureInfrastructure automation toolsPythonBashContainer runtime configurationCustomer-facing technical leadershipLinux kernel tuningNetwork topology designPowerCooling requirements