---
title: 'VP of Engineering at Hyperbolic Labs'
canonical: 'https://feeny.ai/job/vp-of-engineering-hyperbolic-labs-san-francisco-fyhpfb9k3fxp'
type: 'job'
last_seen: '2026-09-08'
---

# VP of Engineering at Hyperbolic Labs

- **Company:** Hyperbolic Labs
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-12
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/hyperbolic/c6039f86-4915-4d1d-9e10-ac7c2a484d5c

## 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 making better use of idle 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.

## 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 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

## INFRASTRUCTURE & RELIABILITY

- 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

## ORGANIZATIONAL LEADERSHIP

- 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

## REQUIRED EXPERIENCE

## MUST-HAVE BACKGROUND

- 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

## STRONGLY PREFERRED

- 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

Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

## About Hyperbolic Labs

## Company Overview
- **One-liner**: Hyperbolic provides an open-access cloud platform offering affordable, on-demand GPU compute and AI inference services for developers, researchers, and AI teams.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States (also listed as Irvine, California, per CB Insights) [LinkedIn], [CB Insights]
- **Founded**: 2022 [CB Insights]
- **Founders**: Jasper Zhang (CEO) and Yuchen Jin (CTO, departed April 2026) [hyperbolic.ai/about], [LinkedIn]

## Core Business
- **Primary industry/industries**: AI Infrastructure, Cloud Computing, GPU-as-a-Service
- **Target customers**: B2B – AI startups, ML engineers, academic researchers, enterprise AI teams, and individual developers.
- **Mission or purpose statement**: “Build the world's most accessible and comprehensive AI platform, empowering developers with affordable, seamless access to meet all their AI needs in one unified platform.” [hyperbolic.ai/about]

## Products & Services
- **On-Demand GPU Clusters**: Rent H100/H200 GPUs in under one minute with no sales calls or quota limits. Pay-as-you-go, scale up/down as needed. [hyperbolic.ai]
- **Reserved Clusters**: Guaranteed, isolated capacity for long-term workloads at discounted prepaid pricing. Ideal for 24/7 inference or large training jobs. [hyperbolic.ai]
- **Dedicated Endpoints**: Single-tenant GPU instances with private endpoints for high-throughput inference (100K+ tokens/min) and full control. Hourly pricing. [hyperbolic.ai]
- **Serverless Inference API**: OpenAI-compatible API to run models like Llama, Qwen, DeepSeek, SDXL, Flux, etc. Swap base URL and key with minimal code changes. [hyperbolic.ai]
- **AI Consulting Services**: Engineering support for setup, scaling, sharding, and debugging across training, fine-tuning, and inference. [hyperbolic.ai]

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Total Funding**: $19.73M (Series A: $12M in December 2024; Seed: $7M in July 2024; additional earlier rounds) [LinkedIn], [CB Insights]
- **Notable Investors/Partners**: Variant, Polychain Capital, Chapter One, Faction, Bankless Ventures, Blockchain Builders Fund, and 29+ others. [CB Insights]
- **Growth Signals**: 200,000+ builders on the platform; claims 3–10x less expensive than inference competitors; presence in 5 countries (US, Singapore, Vietnam, France, South Korea). [hyperbolic.ai], [LinkedIn]
- **Key Metric**: Total funding $19.73M; no public revenue data.

## Competitive Advantages
- **Cost leadership**: 3–10x cheaper than competing inference providers, with no hidden fees or long-term commitments. [hyperbolic.ai]
- **Zero quota limits**: No artificial caps on GPU usage – provision instantly. [hyperbolic.ai]
- **Unique model support**: Only platform serving Llama-3.1-405B-Base in BF16 (high-precision) and FP8 (ultra-fast inference). Endorsed by Andrej Karpathy. [hyperbolic.ai]
- **Open-access ethos**: Focus on democratizing compute by aggregating underutilized GPUs (consumer-grade and data center), enabling AI development without vendor lock-in. [hyperbolic.ai/about]
- **Speed**: Deploy a cluster in under one minute; pay with credit card or crypto. [hyperbolic.ai]

## Strategic Focus
- **Scalability & automation**: Building the most automated platform to eliminate sales calls and friction. [hyperbolic.ai/about]
- **Open ecosystem**: Partnering with top research labs, institutions, and major AI/ML teams to advance open-source AI and open-access compute. [hyperbolic.ai/about]
- **Expanding model variety**: Continuously adding new state-of-the-art models and inference optimizations. [hyperbolic.ai]

## Why Work Here
- **Culture**: Emphasizes “open access, collaboration, innovation, and automation.” Founding story rooted in removing barriers for developers and researchers. [hyperbolic.ai/about]
- **Team**: Small (17 employees as of mid-2026), with a flat structure and hands-on roles. Engineering-centric (5 technical staff) plus growing GTM and product teams. [LinkedIn]
- **Remote/Hybrid**: HQ in San Francisco; employees across 5 countries – likely offers remote flexibility, though policy not explicitly stated. [LinkedIn]
- **Notable perks**: Work on cutting-edge AI infrastructure; direct impact on product; collaboration with top AI labs; use of latest GPUs (H100/H200). [hyperbolic.ai/about]
- **Caution**: Recent high-profile departures (co-founder/CTO Yuchen Jin, Head of Business Operations, and a founding AI engineer in April 2026) – candidates should investigate stability and leadership continuity. [LinkedIn]

## Sources
1. [Hyperbolic – Official Website](https://www.hyperbolic.ai/)
2. [Hyperbolic – About Page](https://www.hyperbolic.ai/about)
3. [Hyperbolic – LinkedIn Company Page](https://www.linkedin.com/company/hyperbolic-labs)
4. [Hyperbolic Labs – CB Insights Profile](https://www.cbinsights.com/company/hyperbolic-labs)
5. [Hyperbolic – Careers Page (Ashby)](https://jobs.ashbyhq.com/hyperbolic)

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