Quality Engineer, Nextcam

Adobe Adobe · Enterprise · San Jose, CA

Quality Engineer for Adobe's NextCam team, focusing on testing and validating next-generation imaging and video technologies, including AI and GenAI models. The role involves functional, regression, exploratory, and end-to-end testing of mobile camera applications, setting up automation infrastructure, and defining quality standards and benchmarks.

What you'd actually do

  1. Test and validate new imaging and video algorithms, including image processing, computational photography, and video pipeline features.
  2. Evaluate image and video quality across diverse real-world scenarios (lighting, motion, color accuracy, edge cases, device conditions).
  3. Partner closely with engineers, product managers, and designers to define quality standards and acceptance criteria for new camera features.
  4. Perform functional, regression, exploratory, and end-to-end testing of the Project Indigo iOS camera application.
  5. Set up automation infrastructure and integrate automated tests into CI/CD pipelines.

Skills

Required

  • Experience testing mobile applications (preferably iOS) through full release cycles.
  • Strong understanding of software QA methodologies, tools, and best practices.
  • Experience with test automation frameworks for mobile applications (e.g., XCTest, Appium, or similar).
  • Familiarity with CI/CD systems and automated test integration.
  • Ability to analyze image and video quality issues with strong attention to detail.
  • Experience with bug tracking systems such as JIRA and source control tools like GitHub.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently while contributing effectively within a cross-functional team.

Nice to have

  • Experience testing imaging, video, or computational photography systems.
  • Experience with computer programming in languages such as C/C++, python, etc.
  • Understanding of image signal processing (ISP), camera pipelines, or video encoding/decoding.
  • Experience using tools such as Xcode, Charles Proxy, logging/analytics platforms, or crash reporting systems.
  • Background or strong interest in photography, videography, or digital imaging.
  • Experience building internal quality dashboards or quality metrics frameworks.

What the JD emphasized

  • AI and GenAI models
  • image quality
  • video quality
  • camera performance
  • mobile user experiences

Other signals

  • testing AI and GenAI models
  • validation and optimization of AI models
  • quality benchmarks for image fidelity, performance, stability, and reliability