at Google
Location
Pittsburgh, PA, USA; Mountain View, CA, USA
Compensation
$147k–$210k USD
Type
full time
Posted
1 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $210k · below the band
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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.
The Visual Quality team, part of the quality organization, focuses on transforming text-heavy shopping experiences into intentional, visually immersive interactions across AI Mode (AIM), AI Overview (AIO), and Gemini. Our 2026 strategy centers on moving away from the current wall of text to deliver the right visual assets at the right moment to increase user helpfulness and efficiency. Strategic pillars and project areas are as follows: maximize visual immersion: focuses on optimizing coverage and precision, launching concept cards for broader entities, and identifying varied contextual imagery, visualize complex shopping concepts: explores implicit image generation (e.g., infographics and creative synthesis) and better utilization of existing visual assets, and accelerate SOTA visual experiences: aims to launch multimodal conversational shopping and support advanced image generation features.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
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