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Open nowFirst seen 3 days ago

Hyperbolic Labs - VP of Engineering

Hyphen Connect71 open roles

Where
San Francisco, California, United States
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Your applicationOpen nowHyperbolic Labs - VP of EngineeringHyphen Connect · San Francisco, California, United States

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hyphen Connect's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 3 days ago

The posting

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
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