Twinkle began her career configuring routers in India. Today, she enables global edge capacity planning and strategy as a Global Technical Program Manager. In her role, she looks months and years ahead to ensure our infrastructure has the room, power, and capacity to scale. As she puts it, "I help make sure the internet has enough room to grow." That job has become more challenging as AI changes what infrastructure needs to do and how quickly it needs to scale. “A plan that made sense just a few months ago can quickly look outdated today,” Twinkle says. “There is a kind of moonshot thinking in this work… building the next size up before most people even notice they will need it.” Explore opportunities to help build Google Global Infrastructure → https://goo.gle/46yYsVD
About us
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh
- Website
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https://goo.gle/3DLEokh
External link for Google
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, CA
- Type
- Public Company
- Specialties
- search, ads, mobile, android, online video, apps, machine learning, virtual reality, cloud, hardware, artificial intelligence, youtube, and software
Locations
Employees at Google
Updates
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Across Europe, thousands of individuals and businesses large and small are using Google tools to grow their businesses and transform their communities. Take Renault Group, which is reinventing French automotive production with AI. In Renault Group's factories, Google AI is helping prevent breakdowns and detect manufacturing defects in real time, cutting factory downtime and production defects in half. Or Polish biotech company Ryvu Therapeutics, which is using Google Cloud to transform the pace of oncology drug discovery, enabling a 2x speedup in simulation times and reduction in false positive drug structures by 50%. And it isn't just advanced and highly resourced enterprises who are benefiting. Entrepreneur Danilly Carvalho used Gemini to scale her skincare brand IPERA from County Clare, Ireland to global markets. Danilly used Google tools to completely rebrand her business and prepare for international expansion, helping her to ideate and develop a new brand name and logo, generate website prototypes, compliant labels, and analyze regional consumer trends. Within a year, online sales had increased by 45% and her local Irish business had expanded to seven countries. 👉 Watch Danilly Carvalho's inspiring story below 👇 and read the full EU Economic Impact Report to learn more about how Google contributed more than €200+ billion to the EU GDP in 2025 https://lnkd.in/exQRwT_6.
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Last week, we launched Gemini 4 Argon — our first frontier model since Koray Kavukcuoglu stepped into the role of SVP at Google DeepMind. We sat down with Koray to get his inside take on how we built Argon, what he sees for the future of AI, and where Google DeepMind is headed next ↓
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How can healthcare workers spend less time updating records and more time consulting with patients? In our latest episode of Dialogues on Technology and Society, Dr. Eric Topol, MD and Google Labs VP Josh Woodward examine how responsible AI innovation can support healthcare workers by reducing administrative friction and helping return the "gift of time" to frontline care. Watch the full interview → https://goo.gle/4shsZBi
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Studying for exams can feel overwhelming when you don’t have the right tools. To help you prepare for your next exam, we've rolled out three new features in Gemini Notebook that keep your learning structured and engaging. • Short Video Overviews generate 60-second videos to help you unpack tricky concepts. Watch them while you’re on-the-go, or share them with your study partners. • Interactive Learning Overviews turn your study materials, including class notes, lectures, and readings, into step-by-step guides. • Expanded quiz formats now let you add short answer, multi-select, and fill in the blank options. After you finish your quiz or flashcard review, you can ask your notebook to pinpoint weak spots where you need to focus more. Learn more ↓ https://goo.gle/3VTaaYT
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Earlier this week, we made Gemini 4 Argon available globally. Designed for deep, precise long-horizon work that usually takes months of manual effort, our latest frontier model is built to solve your hardest problems. 🚀👊 Argon ranks #1 on the Vals Index, which measures model performance across critical economic sectors, and we're already seeing it accelerate progress across engineering, robotics, and science. We’re breaking down what you need to know about Argon, plus sharing four things you can use it for right now ↓
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This week at the International AI Summit in Dublin, we announced our newest partnerships to support European research and resilience in order to build a strong digital future in Europe, including: -A new commitment from Google DeepMind and Google Cloud that will provide up to 200 top European scientific researchers with direct access to our frontier models, along with $3 million in compute credits. Through this pledge, researchers will gain direct access to Googlersquo;s leading scientific tools including AlphaFold 3, WeatherNext, AlphaGenome, AlphaEvolve, and AlphaEarth Foundations. Learn more about our support for the European Commissions AI for Science work: goo.gle/4sazhT6 -Google.org's largest commitment to Ireland: $5 million to advance climate research and AI-powered weather forecasting. As part of the commitment, Google.org will provide €2.25 million ($2.5 million) in funding to the AIMSIR Centre and the Climate + Co-Centre, via the UCD Foundation. Learn more: goo.gle/4s97CSB Learn more from Kent Walker who learned some Irish weather terms while in Dublin for the announcements.
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This week, we began rolling out access to Gemini 4 Argon — our latest frontier model built to solve your hardest problems. See what Argon can do 👉 Learn more → goo.gle/4yMca3T
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At Isomorphic Labs, researchers are using Gemini 4 Argon as a partner to accelerate their drug discovery and design research workflows 🧬 Argon is able to quickly synthesize complex PDFs and patents to extract pertinent information, reducing a process that typically takes weeks into just hours. Learn more → goo.gle/4yMca3T
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Teams across Google put Gemini 4 Argon to work on our hardest engineering problems. From untangling legacy Chromium code to speeding up our Gemma open models, here are 5 ways our engineers and researchers put Argon to the test: 1️⃣ Google Chrome: Gemini 4 Argon helped our team separate core webpage handling from a ~6-million-line legacy folder of browser features held within Chromium’s 40-million-line codebase — completing months of work in just weeks. For Chrome's billions of users, this eliminates an entire category of browser crashes and lets live webpages move fluidly between tabs, side panels, and floating windows without reloading. 2️⃣ Google Antigravity: Software engineers at Google using Argon in Antigravity are shipping high-quality code faster than ever. Over the past few weeks, agentic code submissions increased by more than 35% — while cutting code rollbacks by nearly a third. Read more → goo.gle/4hPJbGo 3️⃣ Agent Development Kit (ADK): For Google's open-source ADK, the team gave Argon a skills rulebook and one goal: eliminate framework overhead without breaking existing apps. Working autonomously overnight, Argon surfaced optimizations that cut in-memory session prep time by 40% in long sessions and sped up cold imports by 21%. See it live in google/adk-python → goo.gle/4eAtLDA 4️⃣ Quantum chemistry (xTB): Our researchers used Argon in Antigravity to optimize xTB, one of the most-cited open-source quantum chemistry packages for predicting molecules' 3D shapes and screening drug and materials candidates. They made xTB up to 2.3x faster at predicting molecular structures and 1.8x faster at conformer search — contributing the changes to the official xTB repository on GitHub → goo.gle/4s6dko0 5️⃣ Gemma open models: Gemini 4 Argon is also speeding up our Gemma open models — making them nearly three times as fast. In just a few days, Argon optimized Gemma 4 E2B to achieve a 2.85x inference speedup on an A100 via vLLM — jumping from ~37,900 to over 108,000 tokens per second with 100% token parity and zero quality drop. Gemini 4 Argon is built to solve highly complex scientific, coding, and agentic problems at Google and beyond. To accelerate real-world impact and discovery across domains, we’re opening applications for researchers and cyber defenders: 🔹 Scientists & researchers: Apply for a chance to get Google Antigravity’s highest usage tier free for 6 months (subject to eligibility & selection) → goo.gle/4z0OCrZ 🔹 Cybersecurity defenders: Apply to join the Fairwind Program → goo.gle/3TUNMOj Learn more about Gemini 4 Argon → goo.gle/4jfSznG