Senior Software Engineer - Graph Node Ecosystem (Video)

Adobe

San Francisco (CA)

On-site

USD 208,300 - 301,600

Full time

14 days+

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Job summary

Adobe is seeking a highly motivated Senior Software Engineer for the Node Ecosystem — Video to enhance Project Graph. This role involves building and maintaining video nodes, integrating AI models, and ensuring performance and reliability in creative workflows.

Ideal candidates will have over 10 years of experience in video processing, strong communication skills, and a passion for creating impactful systems. The position offers a competitive salary range in California, reflecting the skills and experience of the candidate.

Qualifications

  • Over 10 years of experience in software systems, particularly in video processing or media pipeline.
  • Strong command of video codecs, containers, and transcoding.
  • Excellent verbal and written communication skills.

Responsibilities

  • Build and maintain video nodes for Project Graph, including AI video models and GPU operations.
  • Collaborate on the technical vision for the video ecosystem.
  • Set high standards for code quality, testing, and operational rigor.

Skills

Video processing fundamentals
AI video model integration
GPU-accelerated video work
Communication
Problem Solving

Education

BS or MS in Computer Science or related field

Tools

WebGL
WebGPU
Creative Cloud video APIs

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.
  • 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 sense of ownership and a passion for building products that delight users.
  • Ownership & Craft: A self‑directed engineer with a strong sense of ownership, high standards for craft, and a bias toward impact. Passionate about building systems that empower other creators and developers.
Expected Pay Range

The U.S. pay range for this position is $159,200 - $301,600 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $208,300 - $301,600. In Washington, the pay range for this position is $190,200 - $275,400.

Adobe is Proud to be an Equal Employment Opportunity Employer

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Accommodations

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408‑536‑3015.

State‑Specific Notices
California: Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado: Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts: Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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