24 days old
2017-10-262017-12-25

Embedded Programming Engineer, Imaging Systems, Verily Life Sciences - Google

South San Francisco, California

Verily, an Alphabet company, lives at the intersection of technology, data science and healthcare. Our mission is to make the world’s health data useful so that people enjoy longer and healthier lives. We are developing tools and devices to collect, organize and activate health data, and creating interventions to prevent and manage disease.

In this role, you will be responsible for the development and testing of embedded software for imaging, display, sensing and controls. You will work closely with cross-functional teams at Verily and Google on system integration, image stacking, camera calibration, and machine learning. You will also help develop image processing algorithms for low-latency hardware implementation.

Our team combines expertise in biology, chemistry, physics, medicine, engineering, computer science, and more to create interventions that exponentially improve patient care. We partner with leading life sciences, medical device and government organizations to enable fast development, meaningful advances, and deployment at scale. Our work spans many projects, including Project Baseline, the quest to map human health beginning with a 10,000 person observational study; Liftware, stabilizing utensil handles to aid individuals with hand tremor or limited mobility; and Debug, an effort to eradicate mosquito-borne disease with Sterile Insect Technique. For more information, please visit our website.

 

Responsibilities

  • Develop and test embedded software for imaging, display, sensing, and controls.

Requirements

Qualifications

Minimum qualifications:

  • MS degree in Electrical Engineering, Computer Science or related technical field, or equivalent practical experience.
  • Experience in programming with C++ and Python.
  • Experience with embedded systems software development, and GPU/CUDA programming.
  • Experience in OpenCV, OpenVX, OpenMAX, EGL or similar computer vision software suites.

     

Preferred Qualifications

  • PhD degree in Electrical Engineering, Computer Science or related technical field, or equivalent practical experience.
  • Experience with Camera, Image Signal Processor (ISP) or camera software stack, and experience with (real time) data processing.
  • Experience in local tone-mapping, color mapping, image tuning, image fusion, spatial and temporal noise filtering, image sharpening and HDR.
  • Knowledge of signal processing, digital imaging, computer vision, and image/video processing.
  • Ability to use Unix and command-line interfaces.

     

At Google, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. 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. If you have a disability or special need that requires accommodation, please let us know.

 

To all recruitment agencies Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other company location. Google is not responsible for any fees related to unsolicited resumes.

Categories

  • Data Analytics
  • Data Engineer
  • Data Scientist

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Embedded Programming Engineer, Imaging Systems, Verily Life Sciences - Google

Google
South San Francisco, California

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Embedded Programming Engineer, Imaging Systems, Verily Life Sciences - Google

Google
South San Francisco, California

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