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, you will be responsible for full-stack productionisation and technical integration. You will bridge data between complex systems, implement advanced object tracking pipelines, and validate technical approaches to ensure AI products are successfully deployed on-device. Your focus will be on maintaining quality threshold and optimizing core product performance.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.
Responsibilities
- Drive the bring-up of critical object tracking systems, including development and power profiling.
- Lead the design and definition of Application Programming Interfaces (APIs), ensuring efficient data bridging between perception modules and system-level platforms.
- Implement and integrate platform-specific optimizations to achieve significant performance gains on target platforms.
- Validate core technical approaches for enabling high-performance Artificial Intelligence (AI) products to ensure successful on-device productization.
- Lead the implementation of core product quality enhancements and performance optimization strategies.
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in Python or C++ programming languages, or 1 year of experience with an advanced degree.
- 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
- Experience with power profiling and performance optimization for mobile or wearable platforms.
- Experience with on-device validation and productization of AI-driven capabilities.
- Expertise in cross-functional integration and bridging data between proprietary systems.
- Proven track record in the full-stack productionization of technical features.