> Markdown version of [/jobs/ext/4399261-vp-of-engineering-ai](https://www.wearedevelopers.com/jobs/ext/4399261-vp-of-engineering-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP of Engineering (AI) - **Company:** Hyphen Hyphen LLC - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Computer Clusters, Continuous Integration, Software Debugging, Linux, Distributed Systems, Reliability Engineering, Cloud Platform System, Kubernetes, Storage Technologies - **Published:** October 1, 2026 - **Apply:** https://www.juju.com/job/16_4218d1e32 ## About the Role * 12+ years building and operating large-scale infrastructure systems, with experience leading infrastructure organizations while remaining deeply hands-on technically. * Previous experience building or operating a cloud platform at scale - ideally GPU-native cloud infrastructure supporting AI training and inference workloads * Expert-level Kubernetes knowledge and experience designing multi-region cloud infrastructure * Deep expertise in Linux, networking, distributed systems, and storage architecture * Proven track record scaling infrastructure in high-growth startup environments - not just maintaining systems at large companies * Strong understanding of Infrastructure-as-Code, automation frameworks, observability, monitoring, and reliability engineering * Experience building highly available production systems with clear SLOs and incident response processes ## Description * Lead the design and evolution of the AI cloud platform architecture - GPU orchestration, compute scheduling, networking, storage, and distributed systems * Build and scale large GPU clusters supporting customer workloads, including GPU provisioning, scheduling, utilization optimization, and capacity management * Personally participate in architecture reviews, system design, and key technical initiatives (expect 40%+ of time on technical contribution) * Act as the technical escalation point for complex infrastructure challenges - debug production issues, review proposals, and drive decisions * Establish best practices for Kubernetes, observability, CI/CD, security, and operational excellence * Build SRE and Platform Engineering functions from scratch - define SLOs, SLIs, incident response, and capacity planning * Recruit and develop world-class Infrastructure, Platform, and SRE teams * Partner with executive leadership on company strategy and infrastructure investments * Manage infrastructure budgets, vendor relationships, and capacity planning