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Manage a team installing, configuring, and maintaining Google’s global data-center hardware and networks, ensuring uptime and security for AI and cloud infrastructure.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and ship AI-powered document intelligence features using Python, React/TypeScript, and AWS Serverless, integrating LLMs via Amazon Bedrock for OCR, classification, and data extraction.
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the…
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Designs autonomous network solutions for mobile/fixed telecoms using AI frameworks (Vertex AI, LangGraph), network programmability, and agentic systems to optimize performance and cost.
Build and deploy ML models for customer analytics, forecasting, and loyalty programs in a growing retail Data Science team using Python.
At Google, we aim to foster Googley work environments that are collaborative, friendly and fun. The Facilities Management team brings our spaces to life as you oversee the daily operations of our offices. While roles…
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Designs and verifies PCIe subsystems and SoC infrastructure for Google’s next-gen TPUs, focusing on high-performance AI hardware acceleration.
Builds and optimizes the XLA compiler for Google’s TPUs, accelerating ML workloads at scale and co-designing next-gen hardware.
Optimize Google’s TPU fleet for ML training and serving, benchmarking performance, and improving compiler/runtime efficiency to scale large models like Gemini.
Lead engineer building Google’s next-gen data center resource modeling platform to plan capacity, monitor hardware, and manage machine life-cycles at hyperscale while reducing operational costs.
Build and deploy AI infrastructure and LLM-powered workflows on GCP and Vertex AI for a product-focused team.
Design verification engineer building and testing TPU silicon for Google’s AI/ML workloads using SystemVerilog and UVM.
Design verification engineer building silicon IP for Google’s AI accelerators and infrastructure, using SystemVerilog/UVM to verify ASIC blocks and close coverage for tape-out.
Builds and maintains data pipelines and infrastructure to power AI/ML applications, collaborating with data scientists to integrate models into systems.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Job Responsibilities Design, develop, and deploy AI‑powered solutions. Build scalable AI systems and integrate AI / Machine Learning (ML) models into applications, optimizing AI workflows for production. Collaborate…
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