Senior Software Engineer, 3D Perception for Spatial AI

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.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. 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.

Minimum qualifications:

• Bachelor's degree in Computer Science, a similar technical field of study, or equivalent practical experience.
• 5 years of experience programming in Python or C++.

Preferred qualifications:

• Experience in software development moving from initial prototype stages to production-ready code.
• Experience developing and testing prototypes on hardware devices.
• Expertise in computer vision algorithms and their application in 3D environments.
• Background in 3D computer vision, including feature tracking or spatial understanding.
• Familiarity with optimizing tracking systems for wearable or head-mounted devices.
• Proven ability to integrate complex CV features into a broader system architecture.