Member of Technical Staff - GPU Infrastructure

BUILDING OPEN SUPERINTELLIGENCE INFRASTRUCTURE

Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.

As our Solutions Architect for GPU Infrastructure, you'll be the technical expert who transforms customer requirements into production-ready systems capable of training the world's most advanced AI models.

We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.

Core Technical Responsibilities

This customer-facing role combines deep technical expertise with hands-on implementation. You'll be instrumental in:

Customer Architecture & Design

- 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

Infrastructure Deployment & Optimization

- 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 communi...