Pixel System Architect Lead | Google

Google is a multinational Computer-technology company that is categorized in Internet services and products. Founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University, Google has grown to become one of the world’s leading technology giants. The company is best known for its search engine, which dominates the global search market, but it also offers a wide range of other services and products, including online advertising technologies, cloud computing, software, and hardware. Google’s vision and mission is to organize the world’s information and make it universally accessible and useful. This international company is headquartered in Mountain View, California, and its innovative products and services have had a profound impact on the way people access and interact with information on the Internet.

What are the advantages that come with being employed at Google Cloud:

• Engaging in meaningful work has the power to positively impact deserving individuals.
• Empowering Youth by providing them with the necessary tools and skills for advancing in their careers
• Promoting diversity in gender and culture to support the strength of the team.

Job Details:

Job Title: Pixel System Architect Lead
Unit: Google
Job Place: USA
Deadline: Opened 

Education & Qualifications Requirements:

Education:

• Master’s degree in electrical engineering.
• Bachelor’s degree in Computer Science | Machine learning.
• Full Understanding of programming languages.
• Full understanding of embedded hardware systems.

Work Experiences:

• Full experience in driving system architecture activities for consumer electronics devices.
• Professional Experience in Programming languages.
• Full work experience in Machine Learning Models, Acceleration, ML software infrastructure, frameworks, and CPU/GPU ML compute extensions.
• Perfect experience in profiling systems / identifying performance issues and driving optimizations of system resources including battery life/thermals, and power delivery.

Languages:

• Fluency in the English language is Required (both oral and written).

Key Responsibilities Career:

• Full skill in Prioritizing Machine Learning use cases across Google and partners and working cross-functionally on compute strategy. Maintain end-to-end architecture ownership of “machine learning” use cases.
• The ability to lead design reviews with peers and stakeholders to decide amongst available technologies.
• Ability to review code developed by other developers and provide feedback to ensure best practices.
• Responsible for Contributing to existing documentation or educational content and adapting content based on product/program updates and user feedback.

Deadline:

The deadline for the opportunity is open.

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