Moonvalley Inc. logo

Member of Technical Staff (Infrastructure): World Models

Job Overview

Location

Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

April 9, 2026

Full Job Description

📋 Description

  • As a Member of Technical Staff (Infrastructure) focused on World Models at Moonvalley Inc., you will design, build, and operate GPU infrastructure that supports cutting-edge AI research and model training at scale, directly enabling breakthroughs in generative media and entertainment technology.
  • Day to day, you will collaborate with researchers and engineers to translate workload needs into infrastructure decisions, design scheduling and resource allocation systems for shared GPU clusters, build automated tooling and observability, own GPU utilization and cost metrics, participate in on-call rotations, and serve as the primary liaison with GPU providers to ensure reliable, high-performance compute environments.
  • Moonvalley Inc. is a remote-first, async-first company building generative AI technology for media and entertainment, with a culture that values deep technical ownership, systems thinking, and relentless improvement — modeled after the dedication of Olympic athletes, with periodic in-person meetups in London, LA, or Toronto.
  • In this role, you will gain deep expertise in large-scale GPU infrastructure, distributed systems, and ML workload optimization, while shaping architecture decisions for compute and storage systems, setting scheduling policies, and identifying when infrastructure must evolve to meet the demands of next-generation AI models.

Skills & Technologies

Kubernetes
Linux
DevOps
Senior
Remote

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Moonvalley Inc. logo
Moonvalley Inc.
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About Moonvalley Inc.

Moonvalley develops a generative AI model that produces cinematic-quality video from text prompts. Built on a proprietary diffusion architecture, the system allows users to create studio-level motion graphics without filming or editing. The company targets media, advertising, and entertainment workflows, offering an API and web platform for rapid iteration and full commercial licensing. Founded in 2022, the Toronto-based startup is backed by Khosla Ventures, General Catalyst, and Y Combinator.

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