> Markdown version of [/jobs/ext/4388043-software-engineer-multimodal-ai-xr](https://www.wearedevelopers.com/jobs/ext/4388043-software-engineer-multimodal-ai-xr). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Multimodal AI, XR - **Company:** Google LLC - **Location:** San Francisco, CA, United States - **Salary:** $147,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Distributed Systems, Design of User Interfaces, Push Technology, Iterative and Incremental Development, Information Retrieval, Natural Language Processing, Rapid Prototyping Process, Tensorflow, Software Engineering, Systems Architecture, Reinforcement Learning, Data Storage Technologies, Multimodal Learning, Pytorch, Large Language Models, Prompt Engineering, Agentic-AI, Few-Shot Learning, Information Technology, Search Engines, Machine Learning Operations, Programming Languages - **Published:** October 12, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=390f4678329a0ad8 ## About the Role * Bachelor's degree or equivalent practical experience. * 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. * 1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. * 1 year of experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch., * Master's degree or PhD in Computer Science, or related technical fields. * Experience with multimodal learning, large language models, or AI agents. * Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations. * Familiarity with on-device model training and deployment. ## Description 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., * Lead the development and optimization of on-device and hybrid multimodal models for XR devices. Utilize techniques like prompting, few-shot learning, and post-training (e.g., quantization) to enhance performance and robustness while adhering to strict device power and latency constraints. * Create comprehensive evaluation plans for hybrid systems, from dataset development to defining KPIs that measure model accuracy and on-device efficiency. * Identify, implement, and ship the latest modeling innovations, focusing on hybrid agent architectures, orchestration between edge and cloud, multimodality, tool integrations, and personalization. * Prove out concepts for on-device AI features through rapid prototyping and iterative development, facilitating team testing and in close partnership with XR product teams. * Work closely with research scientists, engineers, and product teams to drive the technical roadmap. Foster a collaborative environment and share findings through conference publications while contributing to impactful product launches.