Google
Software Engineer, Biometrics, Imaging, Silicon
Google, Kirkland, Washington, United States, 98034
Software Engineer, Biometrics, Imaging, Silicon
Preferred working locations:
Kirkland, WA ;
Mountain View, CA .
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (e.g., C, C++), or 1 year of experience with an advanced degree.
2 years of experience working with embedded operating systems (e.g., Android, Linux).
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
Experience with software development on Android, for mobile SoCs and smartphones, and in trusted environments such as ARM TrustZone.
Experience with Machine Learning (ML) inference pipeline and software stack.
Experience with optimizing compute workloads on parallel architectures such as GPUs and DSPs.
About The Job Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. You will work on the Imaging and Face Authentication system engineering team in Google’s Platform and Devices organization, focusing on Machine Learning, Imaging, and Security. The role includes developing on‑device software for face unlock, designing biometrics and imaging inference pipelines, and creating prototypes for new biometric and multimedia use cases.
The US base salary range for this full‑time position is $141,000–$202,000 + bonus + equity + benefits.
Responsibilities
Write product or system development code.
Design and implement on‑device software for the face unlock feature on Google Pixel devices.
Design, implement, and optimize biometrics, imaging, and machine learning inference pipelines and scalable software components to enable biometric authentication on future generations of Google Tensor‑based Pixel devices.
Design and develop on‑device prototypes and production software for new biometrics, imaging, and multimedia use‑cases and experiences.
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.
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Kirkland, WA ;
Mountain View, CA .
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (e.g., C, C++), or 1 year of experience with an advanced degree.
2 years of experience working with embedded operating systems (e.g., Android, Linux).
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
Experience with software development on Android, for mobile SoCs and smartphones, and in trusted environments such as ARM TrustZone.
Experience with Machine Learning (ML) inference pipeline and software stack.
Experience with optimizing compute workloads on parallel architectures such as GPUs and DSPs.
About The Job Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact with information and one another. You will work on the Imaging and Face Authentication system engineering team in Google’s Platform and Devices organization, focusing on Machine Learning, Imaging, and Security. The role includes developing on‑device software for face unlock, designing biometrics and imaging inference pipelines, and creating prototypes for new biometric and multimedia use cases.
The US base salary range for this full‑time position is $141,000–$202,000 + bonus + equity + benefits.
Responsibilities
Write product or system development code.
Design and implement on‑device software for the face unlock feature on Google Pixel devices.
Design, implement, and optimize biometrics, imaging, and machine learning inference pipelines and scalable software components to enable biometric authentication on future generations of Google Tensor‑based Pixel devices.
Design and develop on‑device prototypes and production software for new biometrics, imaging, and multimedia use‑cases and experiences.
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.
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