Hyperbolic Labs

Technology

VPofEngineering

$350–550k ~AI est. San Francisco, California, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Executive candidates.

The Brief

“VP of Engineering at Hyperbolic Labs. Skills: Cloud platforms, GPU infrastructure, AI/ML compute. Lead infrastructure strategy. Own organizational growth”

Industry & Context.

Technology
Problems you'll solve

Debugging critical issues; Troubleshooting

What You'll Do.

Lead infrastructure strategy

Own organizational growth

Make executive decisions

Lead design and evolution

Define architecture for GPU orchestration

Define architecture for compute scheduling

Define architecture for networking

Define architecture for storage

Define architecture for distributed systems

Make decisions regarding cloud infrastructure

Make decisions regarding bare-metal deployments

Make decisions regarding platform scalability

Participate in architecture reviews

Participate in technical initiatives

Build and scale GPU clusters

Design systems for GPU provisioning

Design systems for scheduling

Design systems for utilization optimization

Design systems for capacity management

Drive platform reliability

Drive platform performance

Partner with engineering teams

Remain involved in engineering decisions

Remain involved in technical direction

Contribute to infrastructure design

Contribute to infrastructure implementation

Review architecture proposals

Review system designs

Review infrastructure changes

Act as technical escalation point

Establish best practices for Kubernetes

Establish best practices for observability

Establish best practices for CI/CD

Establish best practices for security

Establish best practices for operational excellence

Build Platform Engineering functions

Define reliability standards

Define incident response processes

Define capacity planning

Drive automation across operations

Recruit infrastructure teams

Develop infrastructure teams

Recruit platform teams

Develop platform teams

Build engineering culture

Partner with executive leadership

Manage infrastructure budgets

Manage vendor relationships

Manage capacity planning

How You'll Work.

Team & Collaboration

Partnering with engineers; Partner with executive leadership

Full Job Description

WHO WE ARE Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By aggregating computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality. As we prepare for growth after our Series A, our team — led by co-founders with PhDs in AI, Math, and Computer Science — is poised to redefine computing. ABOUT THE ROLE 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. WHAT YOU'LL OWN CLOUD INFRASTRUCTURE ARCHITECTURE - Lead the design and evolution of our AI cloud platform - Define the architecture for GPU orchestration, compute sched

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