Surfaces Model UX Designer, GeminiApp, DeepMind

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

In this role, you will be part of a team developing System on a Chips (SoCs) used to accelerate machine learning computation in data centers. You will collaborate with members of architecture, verification, power and performance, physical design etc. to specify and deliver high quality designs for next generation data center accelerators. You will solve technical problems with innovative micro-architecture and practical logic solutions, and evaluate design options with complexity, performance, power and area in mindThe AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Responsibilities

• Specify the ideal conversational structures, query categorization logic, and underlying interaction patterns that bring voice, text, and multimodal entry points to life.

• Implement advanced system instructions (SIs) that optimize dynamic responses based on user signals and device capabilities.

• Apply systems thinking to deliver flexible solutions that scale across a range of devices.

• Initiate qualitative assessments of model performance, establishing principle-based rubrics to drive continuous quality hillclimbing across core user journeys (CUJs).

• Partner with AI product designers to craft leading-edge multimodal solutions, ensuring model responses, device signals, and screen relevancy work in concert to deliver cohesive, glanceable experiences.

Qualifications Minimum qualifications:

• Bachelor's degree in Cognitive Science, Human-Computer Interaction (HCI), Linguistics, a related field, or equivalent practical experience.

• 6 years of experience in conversation design, content design, with equivalent experience designing for conversational AI/LLMs.

• Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).

Preferred qualifications:

• Experience in interaction design, particularly managing mixed tactile/voice entry points and mid-conversation modality switching.

• Experience in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable, user-centered model behavior.

• Experience in vibe-coding and developing AI-powered prototypes.

• Familiarity with behavioral data and strong capability to utilize user signals and life-cycle data to create data-driven designs, while being equally capable of moving forward in the absence of data.

• Excellent communication and collaboration skills with the ability to articulate positions, and challenge cross-functional partners with rigorous model UX principles.