Image Processing Algorithm Engineer, Silicon

Job content

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Science, or equivalent practical experience.
• 5 years of industry experience (e.g., ISP design and imaging feature design) or similar.
• Experience in C/C++ or Python programming.
  
  

Preferred qualifications:

• Master’s degree or PhD in Electrical Engineering or Computer Science.
• 8 years of industry experience (e.g., ISP design and imaging feature design).
• Experience in tone mapping, HDR, or color management, and accessing visual quality using objective metrics and subjective techniques.
• Experience in algorithm and silicon design trade-off analysis.
• Knowledge of ISP/DPU algorithms and SoC architecture.
• Understanding of Human Visual System and Color Science.
  
  

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 algorithms and 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 invent algorithms, develop architectural C-models, and specify architectures for future generation products. You will also collaborate with Software and Hardware Architects to explore, build, and test the best hardware 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

• Research and develop state-of-the-art image processing and machine learning algorithms for camera/display imaging use cases.
• Explore and identify a technical direction for new imaging experiences and architecture.
• Construct the specifications of the proposed algorithms.
• Work closely with architects, research, image quality, and Software teams to identify and develop new algorithms for hardware Image Signal Processor (ISP)/Display Processing Units (DPU).
  
  

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 .