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VP of Engineering

San Francisco, CA💼 Full-time🗓 2026-06-12 → 2026-09-26

Core

Build and scale the foundational infrastructure powering an Open-Access AI Cloud platform, including GPU orchestration and distributed systems.

Role type

VP of Infrastructure (hands-on IC executive)

Builds

GPU-native cloud infrastructure for AI training and inference workloads

Domain

Cloud Infrastructure / AI Compute / GPU Orchestration

Deliverable

production ML models | infrastructure

Required skills

Kubernetes, multi-region cloud architecture, Linux, distributed systems, storage architecture, Infrastructure-as-Code, observability, reliability engineering, SRE practices, capacity planning

Preferred skills

GPU scheduling, Slurm, Kubernetes GPU operators, Ray, distributed training systems, managing thousands of GPUs in production

Technologies

Kubernetes, Slurm, Ray, Linux

Responsibilities

Lead design and evolution of AI cloud platform architecture; Build and scale large GPU clusters; Establish best practices for SRE and Platform Engineering; Recruit and develop world-class Infrastructure and SRE teams

Seniority

Executive, hands-on IC

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