🚀 Hiring: Founding GPU Cluster Architect | AI Infrastructure 📍 San Francisco or US remote, with office and cluster-site travel (employees already have to be based in US) $52M raised. $245M in announced compute contracts. Two next-generation NVIDIA B300 clusters. I’m partnering with a Series A AI infrastructure startup building GPU supercomputers and a marketplace where customers can resell unused compute capacity. Their CTO previously led the deployment of 24,000 NVIDIA H100 GPUs across six US data centers. Now, they’re hiring a founding architect to work directly with the CTO and shape the next generation of their infrastructure. You’ll own: → Translating customer workloads into hardware sizing, GPU selection and network topology → Designing, deploying and scaling interconnected production GPU clusters → Debugging performance and reliability across hardware, Linux, drivers and networking → Automating provisioning, monitoring and remediation → Supporting production operations, mentoring engineers and making deployments repeatable I’d love to speak with engineers who have 5+ years of relevant experience and have personally designed and scaled a production HPC or GPU cluster. Strong server hardware fundamentals are essential. InfiniBand/RoCE, RDMA, Slurm or Kubernetes experience would be valuable. Deployments above 1,000 GPUs are a plus. $200K–$400K+ plus equity Open to remote set up from US or Canada as long as candidates are open to regular travel to SF.