Quality Engineer, Nextcam
Adobe · San Jose, CA · Design
About this role
Adobe is hiring a mid-level QA Engineer in the software engineering function based in San Jose, CA. The posting calls out experience with Python, C, Express, Git. Compensation is listed at $139,000–$257,550 per year.
- Role
- QA Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Design
- Posted
- May 19, 2026
More roles at Adobe
Job description
from Adobe careersThe Opportunity
The NextCam team is building next-generation imaging and video technologies that power modern photo / video editing and mobile camera experiences. We are looking for a Quality Engineer who is passionate about image quality, computational photography, and mobile user experiences.
You are excited about testing complex imaging and video algorithms, validating camera performance across real-world scenarios, and ensuring that innovative features ship with exceptional quality. You thrive in a collaborative, fast-paced R&D environment and enjoy combining manual exploration with thoughtful automation.
If you’re eager to make a visible impact on camera experiences used by millions, we’d love to meet you.
What You’ll Do
- Test and validate new imaging and video algorithms, including image processing, computational photography, and video pipeline features.
- Evaluate image and video quality across diverse real-world scenarios (lighting, motion, color accuracy, edge cases, device conditions).
- Partner closely with engineers, product managers, and designers to define quality standards and acceptance criteria for new camera features.
- Perform functional, regression, exploratory, and end-to-end testing of the Project Indigo iOS camera application.
- Set up automation infrastructure and integrate automated tests into CI/CD pipelines.
- Design, implement, and maintain automated test frameworks for mobile camera features and algorithm validation.
- Perform validation and help with optimization of AI and GenAI models.