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Program Manager driving AI-powered ad quality initiatives at Google Ads, coordinating cross-functional teams to reduce scam ads and improve user experience using ML models like Gemini/Agent.
Design and harden secure network systems, perform security reviews, and respond to vulnerabilities for Google Cloud’s infrastructure and products.
Build and optimize Google Cloud Platforms infrastructure, writing C++/Python code to scale systems handling billions of users and improving performance across Google’s services.
Leads developer relations for DeepMind’s AI tools (e.g., Gemini) in India, shaping GTM strategy, advocating for developer needs, and driving adoption via technical enablement, partnerships, and advocacy—bridging engineering, product, and regional ecosystems.
Embedded AI engineer at Google Cloud who builds, deploys, and optimizes production-grade agentic AI systems for high-value public-sector clients, bridging Google’s AI products with customer infrastructure while feeding real-world insights back into product development.
Lead the development of Google Search features, guiding products from conception to launch while collaborating with engineers, designers, and marketers to improve global access to information.
Builds and improves Google Search’s core infrastructure handling billions of queries, using distributed systems, AI, and large-scale data processing.
Develops AI/ML and GenAI solutions for Google Search, designing large-scale systems and optimizing model deployment to improve global information retrieval and accessibility for billions of users.
Software Engineer III at Google Cloud Compute Infrastructure designs, develops, tests, deploys, and maintains software solutions for large-scale systems, including AI and infrastructure at scale, using technologies like C++, Java, or Python.
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google,…
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations…
Designs and refines Class-A 3D surfaces for Google’s consumer devices using NX/Alias, collaborating with engineering and manufacturing to bring polished hardware to market.
Leads technical projects in Google’s AI and Infrastructure teams, bridging engineering and executive stakeholders to deliver large-scale computing solutions like TPUs, Vertex AI, and global networking while managing cross-functional teams and program governance.
Build and troubleshoot payment integrations for Google’s products, collaborating with teams like Fiber and Shopping to enable seamless monetization and global expansion.
Lead a team to install, maintain, and troubleshoot Google’s data-center hardware and networking gear, ensuring 24/7 uptime for AI and cloud infrastructure.
Manages education-focused sales programs and operational workflows for Google Workspace and Gemini, optimizing processes for K-12/higher-ed institutions to maximize adoption of Google’s tools.
Develops next-gen network infrastructure software at Google’s Global Network Edge, optimizing cloud connectivity and global service delivery (e.g., Gmail, Search) by designing scalable, high-performance networking solutions and resolving system inefficiencies across distributed systems.
Leads embedded systems/firmware development for Google’s server platforms (BIOS, drivers, kernel), collaborating with hardware/software teams to design high-performance solutions for AI, cloud, and hyperscale computing infrastructure.
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and…
Designs and optimizes Google’s AI/ML infrastructure stack, focusing on performance tuning, debugging, and tooling for large-scale AI/ML workloads (e.g., LLMs, TPUs) to ensure scalable, high-efficiency systems for global users and Google Cloud customers.
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