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Minimum qualifications:

+ Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.

+ 2 years of experience with software development in one or more programming languages, including C++, Python, or other relevant languages for ML and Computer Vision.

+ 2 years of experience testing, maintaining, or launching ML based software products, and 1 year of experience with software design and architecture.

+ Experience in Machine Learning, Computer Vision, and Data Structures/Algorithms.

+ Experience working with 3D geometry, real-time systems, or depth sensing technologies.

Preferred qualifications:

+ Master’s degree or PhD in Computer Science, Electrical Engineering, Machine Learning, Computer Vision, Robotics, or a related technical field.

+ Experience in developing accessible technologies, particularly within Augmented Reality/Virtual Reality/Extended Reality applications.

+ Experience with Python, TensorFlow, PyTorch, OpenCV, or other modern ML and CV frameworks.

+ Experience developing real-time geometric sensing solutions for Android and embedded systems.

+ Experience with depth sensing hardware and multi-sensor fusion techniques.

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.

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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 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 $141,000-$202,000 + 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 (https://careers.google.com/benefits/) .

+ Lead the research, development, and deployment of Machine Learning (ML) models for geometric sensing across various Extended Reality (XR) form factors and use cases.

+ Own a suite of ML models covering passive and active depth sensing modalities (e.g., mono cameras, stereo cameras, iToF + dToF active depth sensors) to support 3D reconstruction, content placement, occlusion handling, scene understanding, and passthrough.

+ Define and drive research goals in collaboration with product and research leaders, ensuring novel research transitions effectively from concept to production.

+ Oversee teams working on ML model design, training, deployment, benchmarking, and validation, ensuring models perform robustly on-device.

+ Partner with 3D Reconstruction, and Scene Understanding teams to productionize new research and scale the Android XR ecosystem.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.