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.
The XR team works on cutting-edge research and performance optimization through the entire world-sensing stack, from device qualification and calibration, to image processing, VIO, mapping, localization, IMU-based motion understanding, until the end-to-end system verification. This team also pushes the boundaries of how these technologies can support delightful AR experiences and capabilities across goggles, glasses, and phones, such as navigation, persistence, spatial UI powered GenAI, and controller.
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 $174,000-$252,000 + 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
- Design, develop, and implement cutting-edge machine learning models and algorithms for real-time wear detection on consumer Glasses.
- Take ownership of the full development lifecycle, from collaborating with stakeholders to define requirements, through algorithmic design, prototyping, testing, and final implementation.
- Initiate, lead, and contribute to research collaborations with partner teams, exploring novel techniques to solve the most complex challenges in power-efficient and accurate on-device sensing.
- Streamline and enhance the wear detection pipeline on our consumer Glasses, with a focus on maximizing accuracy, and power efficiency on resource-constrained hardware.
- Work closely with cross-functional teams including hardware, software, and research to integrate your solutions and deliver seamless user experiences.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in C++.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with one or more of the following: AI/ML, sensor fusion, embedded systems, and performance optimization.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
- Master's degree or PhD in Computer Science or equivalent experience in one of the following areas: machine learning, sensor fusion, and System design and architecture.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.