Senior Software Engineer - Graph Node Ecosystem (Image)
Adobe3 Locations$208k – $302kPosted 28 April 2026
Job Description
About the Role
We are seeking a highly motivated Senior Software Engineer, Node Ecosystem — Image 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 image node ecosystem at the heart of Project Graph. You will build and maintain the image generation, editing, and processing nodes that creative professionals rely on daily, including first- and third-party AI image models, GPU-accelerated image operations, and Creative Cloud image capabilities surfaced as nodes in the canvas.
What You'll Do
Technical Ownership : Build, implement, and maintain image-focused nodes in Project Graph, including AI image model nodes, GPU-accelerated image processing nodes, and Creative Cloud image 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 image 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 image 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 image 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 image 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 image processing, computer graphics, or media pipeline features and components. Familiarity with node-based or visual programming systems is advantageous.
Technical Expertise :
Strong proficiency with image processing fundamentals (color spaces, compositing, filtering, resampling, image formats)
Experience integrating AI image models into production systems (e.g., generation, inpainting, segmentation, style transfer)
Hands-on experience with GPU-accelerated image work (shaders, WebGL, WebGPU, or equivalent)
Familiarity with Creative Cloud APIs, image SDKs, or media 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 sense of ownership and a passion for building products that delight users.
Ownership & Craft : A self-directed engineer with a strong ... (truncated, view full listing at source)
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