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Wizard

Develops GPU-accelerated AI editing suite

Distributed Systems Engineer

Backend EngineeringUpdated on Nov 10
Full-timeSan Francisco, CA, USA$200k - $260kIn-person

About the Job

Requirements

  • Production experience shipping real-time synchronization or collaboration systems used regularly.
  • Knowledge of distributed systems, including consistency models, replication, conflict-free replicated data types or operational transformation, and failure modes from first principles.
  • Strong software fundamentals in memory management, concurrency, data structures, and system design, with the ability to defend engineering decisions.
  • Ability to work across C++ on the client and a systems language such as Rust or Go for services.
  • Deep experience using AI coding tools to build and ship software.

Responsibilities

  • Own Wizlink end to end.
  • Design a multiplayer-ready data model for timelines, graphs, and media references.
  • Build and ship Cloud Share so teams can host, share, and open projects.
  • Enable real-time multiplayer using conflict-free replicated data types or another approach suited to timelines and graphs.
  • Build dynamic links between cloud projects and local media without blocking editing.
  • Plan migration so single-player projects can move cleanly to multiplayer.
  • Own reliability, including observability, conflict handling, and recovery when a network drops mid-session.
  • Work closely with the Wizard Headless and open .wiz format engineers, and with web engineers working on WizReview.

Desired Qualifications

  • Experience building multiplayer or synchronization systems at Figma, Linear, Notion, Ink & Switch (Automerge), LucidLink, Dropbox, or a similar company.
  • Experience with local-first apps, collaborative editors, version control, or game networking code.
  • A design document or postmortem that changed how a system was built.

About the Company

Wizard

Develops GPU-accelerated AI editing suite

Wizard is a software development company that is building a new creative suite for photo and video editors. Its product is editing software engineered for modern hardware and AI applications, optimized to leverage GPU compute and unified memory architectures, with first-class access to the editing timeline for AI features. This differentiates Wizard from existing tools not designed for today’s hardware and AI workloads. The company targets professional video editors and operates with a lean team in San Francisco. The overall goal is to provide a capable, efficient workflow for content creation tasks through a tightly integrated AI-enabled editing experience.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
Not listed

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