Software Engineering Manager, Whole Home Services

le contenu du travail

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Minimum qualifications:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience managing or leading technical team.
• Experience with software development in one or more programming languages (e.g., Python, C++, Java).
• Experience with one or more of the following: Unix/Linux environments, distributed and parallel systems, service development, machine learning.
  
  

Preferred qualifications:

• Experience in machine learning, algorithms, data infrastructure, data analysis, and system evaluation and testing.
• Experience in driving product excellence through well-defined quality metrics and metrics-oriented optimization.
• Excellent ownership and problem solving skills, with the ability to learn or grow.
• Passion for IoT and smart home technologies.
  
  

About The Job

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user’s interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people’s lives better through technology.

Responsibilities

• Lead a team of engineers responsible for the design, development, and maintenance of machine learning infrastructure, and apply machine learning techniques to support Google Home.
• Set the technical goal for machine learning infrastructure and applied machine learning.
• Work with stakeholders to define and prioritize the roadmap for machine learning infrastructure and applied ML, including understanding the business needs and translating them into technical requirements, identifying and remediating roadblocks in data collection, processing, training, architecture search, performance optimization, testing, and deployment.
• Coach and grow other team members on design techniques and coding standards.
  
  

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 .