Senior Software Engineer - Graph Node Ecosystem (Video) at Adobe

Job description

About the Role We are seeking a highly motivated Senior Software Engineer, Node Ecosystem — Video to join the ambitious Project Graph team at Adobe. Project Graph is a creative system that blends first- and third-party AI models, Adobe tools, and custom interactive components inside a visual, designer-friendly node graph editor. Users connect nodes to build automated, repeatable creative workflows. They package these workflows into Capsules, polished interfaces that allow any user to apply a workflow without opening the editor. Graph operates everywhere, from the web to Adobe apps like Photoshop, and supports a growing community of tool creators. In this position, you will play a pivotal role in shaping and delivering the video node ecosystem at the heart of Project Graph. You will build and maintain the video generation, editing, and processing nodes that creative professionals rely on daily, including first- and third-party AI video models, GPU-accelerated video operations, and Creative Cloud video capabilities surfaced as nodes in the canvas. What You'll Do Technical Ownership : 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. Innovation & Impact : 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. Engineering Excellence : Champion strong fundamentals: simplicity, performance, reliability, and maintainability. Set a high bar for code quality, testing, and operational rigor across the video node library. Build and Operate at Scale : 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. AI-Assisted Development : Apply AI-assisted tools to write, test, and refactor code, and accelerate feature delivery within established engineering standards. Mentorship & Collaboration : Elevate the team through thoughtful code reviews, design discussions, and hands-on mentorship of junior engineers. Customer Focus : Work closely with product managers, designers, and customer-facing teams to understand creator needs and translate them into robust, well-crafted video node experiences. What You Need To Succeed Education : BS or MS in Computer Science or a related field, or equivalent experience. 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. Familiarity with node-based or visual programming systems is advantageous . Technical Expertise : Strong proficiency with video processing fundamentals ((codecs, containers, transcoding, frame rates, color spaces, temporal processing) ExperienceExperience 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) 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 Problem Solving : Ability to decompose complex systems into clear abstractions and deliver solutions that are elegant, scalable, and maintainable. Communication : Excellent written and verbal communication skills. Ability to clearly articulate technical concepts and collaborate effectively with technical and non-technical partners. Customer Empathy : A strong