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Build and maintain scalable backend microservices for Google's consumer payments across APAC, integrating local eWallets and instant payment networks using Java, Go, C++, or Python.
This role involves designing and scaling low-latency machine learning architectures for Google's Search and Shopping Ads, focusing on pCTR models and agentic workflows. The engineer will collaborate with research teams to integrate advanced AI into advertising products while optimizing performance on Tensor Processing Units.
Job Description The Senior Infrastructure Engineer is responsible for designing and leading the delivery of customer infrastructure solutions within the professional services organization. This role develops…
Develop embedded systems software for Google's health and home products—writing and testing code, leading design reviews, reviewing peer code, and debugging hardware, network, and service issues.
Senior Software Engineer on Google's Core team, designing, developing, testing, and maintaining the foundational infrastructure and developer platforms behind Google's flagship products.
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…
Software engineer at Google Research building and optimizing ML/AI systems at scale, including model deployment, data processing, and infrastructure across specialized ML domains.
Builds AI-powered healthcare analytics: statistical models for survey data, LLM pipelines for open-ended responses, and interactive web apps that turn raw data into actionable insights.
Software engineer on Google's Consumer Payments Growth team in Singapore, designing and operating scalable distributed backend services, real-time decisioning pipelines, and growth features for Google's global payments ecosystem using Java/C++ with event-streaming architectures.
Develops and owns an AI-powered deployment platform for Google Cloud, ensuring safe, scalable, and efficient rollouts across hybrid and cloud-native environments. Focuses on API-first architecture, reducing outages, and improving developer experience.
Senior Data Scientist leading AML model development, validation, and governance for SoFi's Anti-Money Laundering Compliance program using Python, SQL, and machine learning methods.
Manage an Android engineering team on the Pixel Retention team, defining strategy and architecture for the Pixel Retention App across the full device lifecycle, using Android, Java/Kotlin, and server back-ends.
Site Reliability Engineer on the Platform Infrastructure team building and scaling the control plane and data plane that orchestrate Ray clusters across cloud environments, using Kubernetes, Go, and Python.
Build and improve Google Search’s personalization and ranking systems using AI/ML to tailor results for billions of users globally.
Co-op ML software engineer building end-to-end ML solutions—from data preprocessing to front-end—at RBC Borealis, using Python/C++/Java, Spark/Hadoop, and deep learning frameworks.
Develops and maintains secure, cross-platform AI agent endpoint software for Google Cloud, focusing on deployment, cryptographic signing, and MDM integration to enable low-latency AI execution in enterprise environments.
The Staff Software Developer leads an embedded systems team in Waterloo to develop firmware and software for Google's wearable AR platforms. The role involves managing technical roadmaps, leading hardware bring-up, and balancing hands-on development in C/C++ with team leadership and mentorship.
Google is seeking a Software Engineer to design, develop, and maintain large-scale production infrastructure software, specifically focusing on storage systems. The role involves collaborating across teams to build scalable solutions, conducting code reviews, and troubleshooting complex system issues.
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using Python, CUDA, PyTorch/TensorFlow, and GPU acceleration.
Build and maintain high-performance Python applications for trading strategies, risk tools, and research systems in a fast-paced fintech environment.
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