Senior Software Engineer - Graph Node Ecosystem (video)

Adobe Adobe · Enterprise · San Francisco, CA +2

Senior Software Engineer to build and maintain video generation, editing, and processing nodes within Adobe's Project Graph, a visual node graph editor for creative workflows. This includes integrating AI video models and GPU-accelerated operations into a large-scale system.

What you'd actually do

  1. Build, implement, and maintain video-focused nodes in Project Graph, including AI video model nodes (e.g., text-to-video, video-to-video, frame interpolation), GPU-accelerated video processing nodes, and Creative Cloud video actions. Design node interfaces that are performant, predictable, and easy for creators to compose.
  2. Collaborate with engineering leadership, model teams, and partner teams to deliver on the technical vision for Graph's video ecosystem, breaking complex requirements into clear, shippable achievements.
  3. Champion strong fundamentals: simplicity, performance, reliability, and maintainability. Set a high bar for code quality, testing, and operational rigor across the video node library.
  4. Contribute to the architecture and operation of a large-scale, globally distributed system. Ensure high availability, low latency, and predictable video throughput in enterprise environments.
  5. Apply AI-assisted tools to write, test, and refactor code, and accelerate feature delivery within established engineering standards.

Skills

Required

  • BS or MS in Computer Science or a related field, or equivalent experience.
  • Over 10 years designing, testing, and managing complex software systems, demonstrating a solid history of taking full responsibility for video processing, computer graphics, or media pipeline features and components.
  • Strong proficiency with video processing fundamentals ((codecs, containers, transcoding, frame rates, color spaces, temporal processing)
  • Experience integrating AI video models into production systems (e.g., text-to-video generation, video-to-video transformation, frame interpolation, video upscaling, motion estimation)
  • Hands-on experience with GPU-accelerated video work (shaders, WebGL, WebGPU, or equivalent)
  • Ability to decompose complex systems into clear abstractions and deliver solutions that are elegant, scalable, and maintainable.
  • Excellent written and verbal communication skills. Ability to clearly articulate technical concepts and collaborate effectively with technical and non-technical partners.
  • A self-directed engineer with a strong sense of ownership, high standards for craft, and a bias toward impact.

Nice to have

  • Familiarity with node-based or visual programming systems is advantageous.
  • Familiarity with Creative Cloud video APIs, media SDKs, or streaming frameworks is welcome — but not a substitute for strong fundamentals
  • Experience building extensible component or plugin systems is a plus

What the JD emphasized

  • AI video model nodes
  • GPU-accelerated video operations
  • Creative Cloud video capabilities
  • integrating AI video models into production systems
  • GPU-accelerated video work

Other signals

  • AI video model nodes
  • GPU-accelerated video operations
  • Creative Cloud video capabilities
  • large-scale, globally distributed system
  • integrating AI video models into production systems