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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP of Engineering - **Company:** Hyperbolic Labs, Inc. - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Clusters, Continuous Integration, Software Debugging, Linux, Distributed Computing Environment, Distributed Systems, Reliability Engineering, Graphics Processing Unit (GPU), Cloud Platform System, Kubernetes, Storage Technologies, Bare Metal, Slurm, Hardware Infrastructure - **Published:** June 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2936f2688ba5a864 ## About the Role Do you have experience in Vendor relationship building?, * 12+ years building and operating large-scale infrastructure systems * Experience leading infrastructure organizations while remaining hands-on technically * Previous experience building or operating a cloud platform at scale * Experience building GPU infrastructure or AI/ML compute platforms * Proven track record scaling infrastructure in high-growth startup environments Deep Technical Expertise * Expert-level Kubernetes knowledge * Experience designing and operating multi-region cloud infrastructure * Strong understanding of Linux, networking, distributed systems, and storage architecture * Experience with Infrastructure-as-Code and automation frameworks * Deep expertise in observability, monitoring, and reliability engineering * Experience building highly available production systems, * Experience with GPU scheduling, Slurm, Kubernetes GPU operators, Ray, or distributed training systems * Experience managing thousands of GPUs in production environments * Background supporting AI training and inference platforms ## Description We are seeking a highly technical Vice President of Infrastructure to build and scale the foundational infrastructure powering our AI cloud platform. This is a hands-on executive leadership role. While you will own infrastructure strategy, organizational growth, and executive-level decision making, we expect you to remain deeply engaged in architecture, design, and engineering execution. You should expect to spend approximately 30-40% of your time directly contributing to technical design, architecture reviews, debugging critical production issues, and partnering with engineers on implementation. The ideal candidate has previously built and scaled cloud platforms, preferably GPU-native cloud infrastructure supporting AI training and inference workloads. You have experience operating at the intersection of executive leadership and hands-on engineering and are excited to help build both the technology and the team., * Lead the design and evolution of our AI cloud platform * Define the architecture for GPU orchestration, compute scheduling, networking, storage, and distributed systems * Make critical decisions regarding cloud infrastructure, bare-metal deployments, and platform scalability * Personally participate in architecture reviews and key technical initiatives GPU Cloud Platform * Build and scale large GPU clusters supporting customer workloads * Design systems for GPU provisioning, scheduling, utilization optimization, and capacity management * Drive platform reliability and performance for AI training and inference workloads * Partner closely with engineering teams on infrastructure requirements for next-generation AI systems Technical Leadership * Remain deeply involved in engineering decisions and technical direction * Contribute directly to infrastructure design and implementation efforts * Review architecture proposals, system designs, and major infrastructure changes * Act as the technical escalation point for complex infrastructure challenges, * Establish best practices for Kubernetes, observability, CI/CD, security, and operational excellence * Build SRE and Platform Engineering functions from the ground up * Define reliability standards including SLOs, SLIs, incident response processes, and capacity planning * Drive automation across infrastructure operations, * Recruit and develop world-class Infrastructure, Platform, and SRE teams * Build a high-performance engineering culture focused on ownership and execution * Partner with executive leadership on company strategy and infrastructure investments * Manage infrastructure budgets, vendor relationships, and capacity planning ## Related Videos - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Got AI ideas but no money? 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