Job Type
Full Time
Job Details
Google welcomes people with disabilities.Minimum qualifications:
Preferred qualifications:
- Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience.
- 6 years of experience in multimedia technologies, including imaging and vision pipeline in silicon development.
- 3 years of experience in Image Signal Processing (ISP), computer vision or computational photography algorithm.
- 1 year of experience in machine learning on hardware acceleration.
Preferred qualifications:
- PhD in Computer Science, Electrical Engineering, or a related field.
- 10 years of experience in multimedia technologies, including imaging and vision pipeline in silicon development.
- 3 years of experience in machine learning hardware architecture and software infrastructure.
- Experience developing hardware IP or system level silicon architecture plan.
- Understanding of machine learning or image/video/display processing algorithms for photography applications.
About the jobBe part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You will contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will design and build the hardware, software and networking technologies that power all of Google's services. You will design and build the systems that are important in the world's largest computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers affecting millions of Google users.
In this role, you will develop new hardware architectures for hardware-accelerated image/video/display use cases. You will work on topics that span areas of image processing, digital imaging, computer vision, computational photography, and machine intelligence. You will develop and specify optimized architectures for current and future generation products. You will also collaborate with key stakeholders to build and test the best hardware architectures to process images/videos/display for applications including digital photography and machine intelligence.
In this role, you will design and build the hardware, software and networking technologies that power all of Google's services. You will design and build the systems that are important in the world's largest computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers affecting millions of Google users.
In this role, you will develop new hardware architectures for hardware-accelerated image/video/display use cases. You will work on topics that span areas of image processing, digital imaging, computer vision, computational photography, and machine intelligence. You will develop and specify optimized architectures for current and future generation products. You will also collaborate with key stakeholders to build and test the best hardware architectures to process images/videos/display for applications including digital photography and machine intelligence.
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. - Design and develop multimedia systems relevant to imaging, video, and display pipelines for hardware implementations.
- Evaluate the architectural design and algorithms for digital photography, computer vision, machine intelligence scenarios.
- Design, define and specify computer vision and image and video processing Internet Protocol (IP). Author hardware specifications for efficient and practical implementation.
- Collaborate with other architects to create optimized and innovative solutions including video, image processing and machine intelligence experiences.
- Work with a variety of stakeholders, including product managers, algorithm developers, and software teams to create immersive and engaging user experiences.
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