Software Engineering Manager, GenAI and Pixel Software Testing

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.

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.