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Prime Intellect is building the open superintelligence stack, making advanced AI infrastructure accessible to all. Their platform, Lab, integrates compute, environments, evaluations, and secure sandboxes for high-performance AI training and deployment at scale. They focus on open frontier AI, developing open-source models and the full-stack platform for advanced AI development. This customer-facing role requires deep technical expertise in GPU infrastructure, SLURM, Kubernetes, and high-performance networking. The ideal candidate will design, deploy, and optimize GPU clusters for LLM training, inference, and HPC workloads, providing technical leadership and support to clients.
Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.
Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.
Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.
Core Technical Responsibilities
This customer-facing role combines deep technical expertise with hands-on implementation. You'll be instrumental in:
Customer Architecture & Design
Infrastructure Deployment & Optimization
Production Operations & Support
Technical Requirements
Required Experience
Infrastructure Skills
Nice to Have
Growth Opportunity
You'll work directly with customers pushing the boundaries of AI, from startups training foundation models to enterprises deploying massive inference infrastructure. You'll collaborate with our world-class engineering team while having direct impact on systems powering the next generation of AI breakthroughs.
We value expertise and customer obsession - if you're passionate about building reliable, high-performance GPU infrastructure and have a track record of successful large-scale deployments, we want to talk to you.
Apply now and join us in our mission to democratize access to planetary scale computing.
Compensation
Cash Compensation Range of $150-300k plus Equity Incentives