The Principal M-LLM Post-Training and Execution Software Engineer for XR at Google will lead efforts to transform state-of-the-art research models into production-ready features for augmented and virtual reality. This role is situated within the Android XR team, focusing on enhancing user experiences through intelligent and optimized models. The engineer will work at the intersection of model alignment and high-performance execution, ensuring that models are safe and reliable for real-time XR environments. The position requires collaboration with various teams to develop innovative technologies that improve user interaction with computing.

• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience.
• 15 years of experience in software engineering, specifically in large-scale machine learning systems or computing.
• Experience driving the go-to-market strategy for AI-driven technologies.
• Experience leading engineering teams through the full execution cycle of AI products.

• Design and scale the post-training infrastructure for Multimodal LLMs, including instruction tuning, RLHF, and automated evaluation frameworks.
• Architect and optimize the execution engines that support real-time M-LLM inference on XR hardware.
• Lead the development of large-scale computer vision and multimodal data pipelines to improve model understanding of spatial and environmental contexts.
• Partner with Product and UX teams to define the intelligence primitives that will power the next generation of spatial applications.
• Set the standard for model safety and alignment for XR-specific use cases, ensuring responsible AI deployment at scale.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.