Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in C++ or Python.
- 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 Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing; and experience designing Computer Vision systems.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience working in Augmented Reality (AR).
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience working in Geometric Sensing, XR, Robotics, or a related field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
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.
In this role, with your technical expertise 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 like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
For United States Applicants: 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.
For Canada Applicants: The Canada base salary range for this full-time position is CAD 182,000-187,000 + 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. Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
Responsibilities:
- Develop and deploy geometric sensing across a range of XR products and use cases.
- Bring up sensing capabilities on new devices and prototypes, scaling the XR ecosystem.
- Empower XR experiences by providing geometric sensing for features like 3D reconstruction, content placement, occlusion, scene understanding, and passthrough.
- Collaborate with system owners to define roadmaps for XR geometric sensing endpoints.
- Scale impact by developing systems and processes that ensure XR geometry can support geometric sensing machine learning (ML) across a range of products and use cases.
