Hyphen Connect
Hyperbolic Labs - VP of Engineering
- Compensation
- Not disclosed
- Location
- San Francisco, California, United States
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- 12+ years
- Category
- Not specified
- Posted
Skills
Must have
- 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
Full description
Our Client is an AI company working on revolutionizing the AI landscape with our GPU marketplace and AI inference service, making high-performance computing affordable and accessible to all. They are hiring a Executive Engineering hire (SF, Hybrid) to building the Infrastructure, Platform, and SRE functions from the ground up.
Key Responsibilities
- 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
Requirements
- 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