Software Engineering Manager, GenAI and Pixel Software Testing

Mountain View, CA, USA

Google

Google’s mission is to organize the world's information and make it universally accessible and useful.

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Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role, overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
  • Experience in Test Automation Framework.
  • Experience in workflow automation.
  • Experience with Generative Artificial Intelligence (Gen AI) and Machine learning (ML).

Preferred qualifications:

  • Experience with Machine learning infrastructure and Machine learning optimization.
  • Experience with Testing Tools.
  • Experience with Infrastructure Design.
  • Experience with Java or Python coding languages.

About the job

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. 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.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Lead team aligning with broader organizational goals.
  • Apply Artificial Intelligence or Machine Learning (AI/ML), develop tools and processes to improve productivity of the team and organization.
  • Identify and address gaps in reliability, scalability, and test efficiency, delivering the next generation of fulfillment planning systems working with leads and business stakeholders
  • Manage a group of Software Engineers (SWEs) and facilitate their projects. Track their expectations, aligned with the broader organization's goals. Discuss performance and career development, and provide actionable feedback and mentoring.
  • Support their management's priorities, align strategy, processes, and decision-making across teams.
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Tags: Engineering Generative AI Java Machine Learning ML infrastructure NLP Python Research Security Testing

Perks/benefits: Career development Equity / stock options Salary bonus

Region: North America
Country: United States

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