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.
In this role, you will be a part of cross-functional team with various set of skills spanning research, prototyping, and production mobile development that will push the boundaries of how headsets and glasses unlock new capabilities for users.
You will work with technical developments happening today (e.g. generative AI, agentic systems) across all modalities (language, audio), work on one of the best form factors for fully uncovering the potential of AI agents. You will collaborate with cross-functional partners (Product Management, User Experience, Program Management, and User Experience Research) to develop completely new user interfaces for people to interact with head-worn devices.For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
The US base salary range for this full-time position is $262,000-$365,000 + 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
- Define a visionary roadmap for XR Interfaces powered by AI conversational agents, balancing innovation, user research, and industry trends to push the boundaries of how users interact with headsets and glasses.
- Collaborate with the broader Applied AI teams, XR developer team, Application teams and Deepmind teams to align development with real-world use cases and challenges.
- Maintain an approach to software design, architecture, and coding standards to ensure the highest quality and scalability of XR's AI-driven system interface.
- Lead, mentor, and develop engineering talent across the XR Human Interface team.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end including JavaScript or TypeScript, HTML, CSS or equivalent.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
- 7 years of experience building and developing large-scale infrastructure, distributed systems or networks or experience with compute technologies, storage or hardware architecture.
- 5 years of experience with design and architecture; and testing/launching software products.