XR Camera Image Quality Engineer at Google
Google · Mountain View, Estados Unidos Da América · Onsite
- Professional
- Office in Mountain View
Minimum qualifications:
- Bachelor’s degree in Telecommunications, Electrical Engineering, or a related field or equivalent practical experience.
- 5 years of experience with embedded programming in Python or C++.
- Experience in image processing, computer vision, or computational imaging development.
Preferred qualifications:
- Master's or PhD degree in Computer Science, Image Processing or Electrical Engineering, or a related field.
- 3 years of relevant industry experience in image quality, computational imaging or mobile camera engineering.
- Experience in image quality evaluation for mobile devices.
- Experience developing ML based image quality evaluation protocols.
- Experience with automatic imaging tuning related development and technology.
- Experience in end-to-end imaging system tuning and quality evaluation including imaging hardware, image signal processing and post-processing imaging algorithms.
About the job
As a Firmware Engineer, you will develop evaluation protocol and carry out regular testing on camera modules during the product development phase.
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
Responsibilities
- Develop camera imaging signal processing methods for quality evaluation to improve coverage and make camera tuning process more efficient.
- Work with the architecture, software, tuning, tool teams to develop solutions to achieve quality goals and commercialize real products.
- Generate image quality reports based on the collected images, videos and provide feedback to the engineering teams.
- Collect the debug data, raw images, log or video to help debug and improve the feature repeatedly.
- Collaborate with photographers and engineers to fine tune cameras and solve issues before product launches.
