Senior Software Engineer, XR World Context

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. 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Germany: €128000 - €131000 (EUR) + 15% bonus target + equity + benefits Learn more about benefits at Google . Design, implement, and deploy lightweight scene representations to capture world-facing context signals and enable contextual triggers and panel placement for XR glasses. Create suitable ego-centric datasets, as well as the fusion and evaluation of different foundation models for building robust object- and scene-centric representations in real-time. Interface these representations with Gemini/Gemma variants. This unlocks powerful context-aware AI capabilities, such as voice-based spatial placement and on-device scene understanding for Spatial Gemini. Create and curate suitable ego-centric datasets, as well as the fusion and evaluation of different foundation models for building robust object- and scene-centric representations in real-time. Minimum qualifications: Bachelor's degree in Computer Vision, Robotics, 3D sensing, a related field, or equivalent practical experience. 5 years of experience in Computer Vision, Robotics, or related fields. Experience contributing to research in the field of 3D surface reconstruction and semantic scene understanding. Preferred qualifications: Experience working in AR/VR/XR. Experience working with mobile DSPs for ML network acceleration. Strong skills in modern ML frameworks, VLMs, 3D math, real-time system implications of ML workloads. Bachelor's degree in Computer Vision, Robotics, 3D sensing, a related field, or equivalent practical experience. 5 years of experience in Computer Vision, Robotics, or related fields. Experience contributing to research in the field of 3D surface reconstruction and semantic scene understanding.