Senior Software Engineer, XR Geometry ML Lead
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent practical experience.
- 5 years of experience testing, maintaining, or launching ML-based software products, and 1 year of experience with software design and architecture.
- 5 years of experience with software development in one or more programming languages, including C++, Python, or other relevant languages for ML and Computer Vision.
- 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.
- 1 year of experience in a technical leadership role, including mentoring engineers and setting technical direction.
- Experience in developing accessible technologies, particularly within AR/VR/XR 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.
About the job
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The Google Augmented Reality team is a group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.
The US base salary range for this full-time position is $166,000-$244,000 + 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
- Lead the research, development, and deployment of ML models for geometric sensing across various 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 Depth, 3D Reconstruction, and Scene Understanding teams to productionize new research and scale the Android XR ecosystem.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.