Senior Software Engineering Manager, Devices Software

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C , Java, JavaScript).
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
• Experience with Machine Learning.
• Experience with Computer Vision.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization.
• Experience with system architecture.

About the job

Like Google's own ambitions, the work of a Software Engineer goes 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.

The Google Home Perception team leverage Computer Vision, Large Language Models (LLM), multi-modal embedding and other machine learning algorithms to provide our users intelligence features on a range of Nest and Google Home products.

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 $237,000-$337,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Develop the long-term technical goal and roadmap within and often beyond the scope of the teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Lead a group of Machine Learning (ML) Engineers to build new generation smart home intelligence features and devices.
• Develop innovative product roadmaps in collaboration with various stakeholders.
• Guide all technical aspects of development from problem formulation, design, model training, algorithm implementation, evaluation to integration and quality.
• Collaborate and coordinate with a diverse set of teams such as Services, Apps, Device Software, Hardware, Research, etc.