Google jobs

Principal Account Manager for Google's Large Customer Sales (LCS) Programmatic Media team. Requires 8+ years in programmatic account management at DSP/SSP/publisher; focuses on building large advertiser and agency relationships, presenting client-specific proposals, and strategic account planning. Located in New York. Compensation $124K–$181K + 60% bonus target + equity.

Staff Software Engineer role focused on AI/ML Storage Infrastructure at Google. Requires 8+ years C++ programming, 5+ years large-scale infrastructure/distributed systems, 5+ years product testing/launch, and 3+ years software design/architecture. San Jose, CA on-site position with $207k–$301k compensation and 20% bonus. Core work involves TPU compiler development, distributed systems, and performance optimization.

This Senior Software Engineer position on Google Ads' Infrastructure team focuses on large-scale data systems and infrastructure supporting advertising products. Based in Los Angeles, CA (on-site). Mid-level role requiring 5+ years software development, 3+ years infrastructure/distributed systems/networking, and 3+ years product shipping and architecture. Emphasizes building large-scale infrastructure for Google's Ads ecosystem (search, display, shopping, travel, video advertising, analytics). Compensation: $174k–$253k + 15% bonus + equity. The role supports the Ads organization which serves billions of users and helps grow businesses of all sizes through effective advertising tools.

This Senior Software Engineer position on Google's gUP (gTech Users and Products) team focuses on building generative AI and machine learning infrastructure supporting Google's flagship products. Based in Sunnyvale, CA (on-site). Requires 5+ years Java development, 1+ years GenAI (LLMs, vision models), and 3+ years ML infrastructure (model deployment, evaluation, optimization). The role emphasizes full-stack product development, testing, and deploying ML models at scale. Compensation: $147k–$211k + 15% bonus + equity. The position is mid-level, supporting product teams with ML infrastructure and scaling challenges across Google's ecosystem.