info_outline X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; San Francisco, CA, USA. Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with iOS application development.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience designing complex window management architectures and extensible System UI frameworks for iOS or spatial computing.
• Advanced experience in LLM integration, prompt engineering, and API and SDK design.
• Proven track record leading development of system-level features, managing overlapping platform challenges, and mentoring senior engineers.
• Proficiency in spatial interactions, 3D game engines, or performance optimization for resource-constrained hardware.
• Expert proficiency in reactive UI frameworks, especially SwiftUI.

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. XR Human Interface team is a collection of experts in HCI (human computer interaction), system experiences, multimodal input and contextual learning that define how headsets and glasses interfaces evolve. As AI-driven agentic interactions are gaining momentum, we're right in the middle of creating new user interfaces that combine skills in mobile development and applied machine learning approaches. We build novel applications to help users make the most of spatial computing to bring helpful AI to their lives in the most effortless way possible. 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. US: $207000 - $301000 (USD) 20% bonus target equity benefits Learn more about benefits at Google . Responsibilities

• Define the long-term technical roadmap and overall Window Management and System UI architecture for iOS Glasses.
• Architect solutions for system-level AI integration, spatial AI-driven app lifecycles, and adapting existing platform solutions.
• Maintain a high bar for code quality and testability by writing critical-path iOS code and conducting architectural design reviews.
• Partner with UX, PM, and adjacent platform teams to enable rapid prototyping and deliver engineering feasibility analysis.
• Provide technical mentorship and architectural oversight to elevate the engineering team and foster a culture of excellence. Demonstrate and drive adoption of emerging AI workflow improvements to enhance productivity while preserving or improving quality.