Imaging and Vision Architect, Devices and Services, Silicon

작업 내용

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Minimum qualifications:

• Master’s degree in Electrical Engineering, Computer Science, or equivalent practical experience.
• 5 years of experience in digital imaging and computer vision methods and algorithms.
• 5 years of experience in imaging or vision pipeline.
  
  

Preferred qualifications:

• Doctorate’s degree in Computer Science or Electrical Engineering, or a related field.
• 5 years of relevant industry experience.
• Experience developing hardware IP.
• Experience in array cameras, computational photography techniques, depth sensing cameras, and others.
• Deep understanding of machine learning or image/video processing algorithms for photography applications.
• Understanding of image quality metrics.
  
  

About The Job

Our computational challenges are so big, complex and unique we can’t just purchase off-the-shelf hardware, we’ve got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of Google’s services. As a Hardware Engineer, you design and build the systems that are the heart of the world’s largest and most powerful 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 cutting-edge data centers affecting millions of Google users.

In this role, you will develop novel hardware architectures for hardware-accelerated image and video processing applications. You will work on topics that span areas of image processing, digital imaging, computer vision, computational photography, and machine intelligence. You will define dataflow, software-hardware partition, optimize algorithms and evaluate PPA for future generation products. You will also collaborate with PM, software, hardware, algorithm, SoC architects, and various compute core architects to explore the entire technology stack and define the best architectures to process images and videos 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

• Invent imaging pipeline blocks suitable for hardware implementations. Define the requirements specifications for the interface with the image sensors.
• Develop the architectural design and algorithms for digital photography, computer vision or machine intelligence scenarios.
• Design, define and specify computer vision and image and video processing IP.
• Work with the chip architecture team to understand and improve the architecture and use cases.
• Work with the Image Quality and Software teams to understand their requirements and to improve the designs.
  
  

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 .