Senior Computer Vision Engineer, Pixel Camera

Google Inc.

San Diego (CA)

On-site

USD 147,000 - 210,000

Full time

8 days ago

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Job summary

Google is seeking Software Engineer III for the Pixel Camera team in the US. The role emphasizes end-to-end mobile imaging features, including autofocus, exposure, image signal processing, and depth understanding, with opportunities to influence multiple computer vision requirements.

The position involves collaborating across hardware, research, and chip design teams to push imaging capabilities in Pixel devices and related technologies.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience with software development in C++.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 years of experience with computer vision, imaging, or augmented reality platforms.

Responsibilities

  • Write product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Research and develop 3A (Autofocus, Auto exposure, Auto white balance), ISP (image signal processor) and other computational photography/computer vision features such as depth map, scene understanding that are mobile friendly and simulate the physical world.
  • Conduct new feature development, productization, and system specification, through software prototyping, simulation, and image quality characterization.
  • Work with cross-functional teams such as Hardware, Research and Chip design teams.

Skills

C++
ML infrastructure
Computer vision

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking Software Engineer III for the Pixel Camera team in the US. The role emphasizes end-to-end mobile imaging features, including autofocus, exposure, image signal processing, and depth understanding, with opportunities to influence multiple computer vision requirements.

The position involves collaborating across hardware, research, and chip design teams to push imaging capabilities in Pixel devices and related technologies.

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