Software Engineer III at Google working on the Duplex product, which involves building phone conversation bots. The role requires creating datasets, evaluating AI model quality, and building Python backends for communication within the Geo ecosystem. Collaboration with other engineering teams across Geo, Search, and Research is expected to advance Duplex capabilities.

Staff Software Engineer at Google Cloud Storage, focusing on building and optimizing storage solutions for AI/ML workloads, bridging core storage infrastructure with the demands of training and inference.

Senior Software Engineer, Google Cloud, Generative AI, Blackbelt role focused on helping customers adopt and integrate Google's Generative AI solutions, including AI Agents and Gemini Enterprise. The role involves understanding customer needs, providing technical expertise, developing integration strategies, and supporting developers in leveraging Generative Language APIs. It requires experience in software development, Python, data science/ML, and specifically with GenAI and AI Agents.

Technical Lead for Google Cloud Security, focusing on transitioning to an AI-native Security Operations Center (SOC). The role involves architecting an Agent Engine and universal APIs for enterprise security teams to orchestrate defense at machine speed, shifting from static workflows to multi-agent ecosystems. Requires strong software development, ML design, and architecture experience, with a focus on AI/ML integration into enterprise products.

This role focuses on architecting the hardware (SoC Vision Architect) for AI/ML applications, specifically Tensor Processing Units (TPUs) and their associated imaging pipelines (ISP, CODECS). The goal is to define custom silicon solutions that power Google's demanding AI/ML workloads, optimizing for power, performance, and area while integrating advanced computational imaging algorithms and potentially deploying neural networks on specialized hardware.

Senior Software Engineer role focused on developing and managing software for deploying Electronic Design Automation (EDA) tools on Google Cloud. The role involves creating automation, back-end RPC services, and cloud-based solutions for scaling workflows. A key aspect is leveraging advanced machine learning techniques to generate user insights, impacting hardware creation at Google.

Senior Software Engineer role focused on developing next-generation storage solutions for AI/ML workloads on Google Cloud Platform. The role involves designing and implementing advanced storage solutions, addressing system design issues, developing production-ready code, and contributing to incubation projects. Responsibilities include writing and testing code, participating in design reviews, reviewing code from peers, triaging and debugging issues, and contributing to documentation. The role requires experience with software development, testing, maintenance, launching products, and software design/architecture, with preferred qualifications in data structures, algorithms, technical leadership, file systems, Linux kernel internals, AI/ML workloads, and cloud computing platforms.

This role focuses on the electrical design of complex High Performance Computing (HPC) systems, specifically driving the development of next-generation AI accelerator boards. The engineer will be responsible for schematic capture, component selection, high-speed interface design, power delivery design, and lab bring-up and debugging of these boards. The role involves cross-functional collaboration with various engineering teams to bring products from concept to mass production.

Technical Program Manager for System on a Chip (SoC) development, focusing on edge-AI products with distributed inference technology for real-time systems. The role involves managing complex, multi-disciplinary projects from concept to production, collaborating with various engineering teams, and driving technical decisions, schedules, and risk management.

This role focuses on the security architecture of custom silicon for Google Cloud's Edge-Artificial Intelligence products. The primary responsibility is to define and implement hardware security primitives and countermeasures against physical and logical attacks to protect AI accelerators and sensitive information. The role involves working with distributed inference technology and ensuring the security and impenetrability of hardware for edge AI.

Senior Staff DSP Design Engineer role focused on developing custom silicon solutions for Google's direct-to-consumer products and Google Cloud. The role involves defining roadmaps for high-speed data paths, evaluating technologies like Co-Packaged Optics (CPO), advanced modulation formats, and Forward Error Correction (FEC) for AI computing clusters. Responsibilities include identifying limits of DSP architectures, defining requirements for DSP test chips, driving power-reduction roadmaps, and representing Google in industry standards bodies.

Senior Silicon Validation Engineer for Google Cloud's custom silicon solutions, focusing on post-silicon validation to ensure high quality and reliability of cloud infrastructure. Responsibilities include defining and executing validation content, debugging issues across cross-functional teams, and driving silicon from chip to product.

This role focuses on designing, implementing, and validating custom silicon solutions for Google's direct-to-consumer products and Google Cloud infrastructure, specifically within the ML, Systems, & Cloud AI (MSCA) organization. The engineer will utilize performance and power models, design tests, develop pre-silicon benchmark representations, analyze and resolve performance issues, and create performance measurement frameworks and KPIs. The role requires extensive experience in SoC/CPU performance and power modeling, analysis, debugging, and computer architecture.

Software Engineering Manager for Google EDACloud, responsible for managing engineers, setting team priorities, developing technical vision and roadmap, and guiding system designs for running massive workloads of Electronic Design Automation (EDA) tools on GKE, supporting hardware engineering teams, especially with the increasing complexity due to ML/AI needs.

This role is for a Junior CPU Design Verification Engineer at Google Cloud, focusing on developing custom silicon solutions. The engineer will be responsible for creating verification components, constrained-random testing, system testing, and ensuring verification closure for digital designs. Responsibilities include verification planning, test execution, and coverage analysis, working closely with design engineers.

Software Engineer III for the Waze Android app, focusing on designing and implementing advanced features, improving user experience, and collaborating with product teams. Requires experience in Android development and programming languages like Java or Kotlin.

This role is for a CPU CAD Front-End Engineer at Google Cloud, focusing on developing and maintaining CAD tools and scripts to automate design tasks, verification processes, and data analysis for custom silicon solutions. The engineer will administer and optimize the front-end compute environment, provide technical support, and identify workflow enhancements. The role requires experience in coding/scripting languages and front-end design/verification tools.

Silicon Validation Engineer for Google's direct-to-consumer products, focusing on custom silicon solutions and hardware experiences. Responsibilities include defining, developing, and executing post-silicon validation content, debugging issues with cross-functional teams, and ensuring quality functional coverage. Requires experience with functional tests for silicon validation using C/C++ and silicon bring-up.

This role focuses on the design, simulation, and characterization of signal and power integrity for IC designs, including external electrical interfaces, power distribution networks, and low-power methodologies. The engineer will use EDA tools and lab equipment to validate simulations and debug issues on prototypes, collaborating with various engineering teams.

Software Engineer role focused on CPU performance modeling for Google Cloud, collaborating with System and CPU Architecture teams to define methods for modeling CPU performance and correlating projections with post-silicon data. The role involves writing product/system development code, designing, developing, testing, deploying, maintaining, and improving CPU software modeling tools, and managing project priorities.

This role is for a CPU Design Integration Engineer at Google Cloud, focusing on developing custom silicon solutions for Google's direct-to-consumer products and powering Google services. The role involves defining and implementing solutions for design, integration, and verification problems, connecting various aspects of chip design (RTL, physical, DFT, IPs), and ensuring chip quality. While the organization works with AI/ML infrastructure and products like TPUs and Vertex AI, the core responsibilities of this specific engineering role are in hardware design and integration, not direct AI/ML model development or research.

This role focuses on silicon validation and automation engineering for Google's hardware products, including those powering AI services. The engineer will run and analyze CI regression results, design and implement new regression methods and infrastructure, identify and debug issues, and develop/maintain tools for silicon validation and debug. The role requires experience in post-silicon validation, SoC debug, CI systems, lab equipment, and scripting languages like Python.

Software Engineer III for the Waze Mobile iOS team at Google, focusing on designing and implementing advanced features, improving user experience, and collaborating with product and design teams. Requires strong iOS development skills in Swift or Objective-C.

This role is for a Senior SOC DFT Engineer focused on designing and implementing Design for Testing (DFT) solutions for large-scale ASICs. The responsibilities include leading DFT architecture, developing flows and automation, managing team workload, and ensuring DFT quality throughout the ASIC development lifecycle. The role requires extensive experience in ATPG, DFT design and verification, and leading DFT activities.

Google is seeking a Staff Design Engineer to develop custom silicon solutions for networking acceleration in data centers. The role involves leading ASIC subsystem development, defining hardware/software interfaces, and collaborating with cross-functional teams. Experience in networking ASICs, RTL design, and performance analysis is required.

This role focuses on designing and integrating analog sub-systems for custom silicon solutions that power Google's direct-to-consumer products and Google Cloud infrastructure. The engineer will be responsible for the analog front-end (AFE) communication with the digital signal processor (DSP), ensuring seamless electrical integration between package and silicon. Key responsibilities include owning architecture and implementation of major sub-components like receiver AFE or clocking/PLL distribution, designing critical suspension systems for high-speed I/O, and leading test chip definitions for next-generation nodes. The role also involves defining hardware/software partitioning and interface specifications in collaboration with DSP, firmware, and system architects, and providing technical guidance.

This role is for a Senior Design Engineer on the Google Cloud Networking team, focusing on developing custom silicon solutions for Google's direct-to-consumer products and AI/Infrastructure. The engineer will be involved in the full ASIC design cycle, from RTL development to synthesis, timing closure, and silicon bring-up, with a focus on networking ASICs.

Staff Architect role focused on designing digital signal processing algorithms for high-speed data center interconnects, including forward error correction and modulation schemes. Requires leadership in architecture, algorithm development, system modeling, and collaboration with hardware/software teams, with a focus on custom silicon solutions. The role emphasizes technical leadership and mentorship in the field of communication systems.

Senior Digital Signal Processing Engineer responsible for turning communication theory into efficient, bit-exact silicon logic for custom silicon solutions powering Google's direct-to-consumer products and Google Cloud infrastructure. Focuses on DSP algorithms for high-speed PHYs, fixed-point analysis, and developing bit-exact models.

Software Engineer III role focused on developing and maintaining a cloud-native data movement platform using microservices architecture on GCP. Responsibilities include writing code, leading design reviews, code reviews, contributing to documentation, and triaging/debugging system issues. Requires experience with large-scale infrastructure, distributed systems, and compute technologies.

This role is for an RTL Design Engineer focused on developing custom silicon solutions for Google's direct-to-consumer products. The engineer will be involved in the entire ASIC SoC IP lifecycle, from microarchitecture definition and RTL coding to quality checks, design flow, and collaboration with various engineering teams. While the role is within an organization that supports AI infrastructure (MSCA), the core responsibilities are in hardware design, not direct AI/ML model development.

This role is for an RTL Design Technical Lead focused on networking ASICs for Google Cloud's server chips. The individual will be involved in the entire ASIC design cycle, from specification to production, including RTL development, simulation, synthesis, and bring-up. The role requires significant experience in architecting networking ASICs and technical leadership, with a focus on performance, efficiency, and integration.

This role focuses on the post-silicon validation of custom networking silicon for Google's direct-to-consumer products and cloud infrastructure. The engineer will develop test plans, write and execute tests in Python or C/C++, and lead bring-up, troubleshooting, and debug efforts on silicon to ensure quality and functionality.

This role is for a Senior Software Engineer on the Google Cloud Security team, focusing on building an AI-powered platform for unified security investigations. The engineer will provide technical leadership, architect the platform, and bridge the gap between SIEM and SOAR. Responsibilities include writing and testing code, participating in design reviews, code reviews, and debugging issues.

Senior Software Engineer for Google Cloud Databases, focusing on developing and enhancing infrastructure for streaming data from various sources to destinations within Google Cloud Platform (GCP) services like Datastream and Database Migration Services (DMS). The role involves writing and testing code, participating in design reviews, triaging issues, and contributing to documentation.

This role focuses on the design, simulation, and characterization of power and signal integrity for custom silicon solutions within Google's direct-to-consumer products. The engineer will work with various cross-functional teams to ensure IC designs meet system requirements and achieve high performance, utilizing both simulation tools and lab measurements.

This role is for an RTL Design Technical Lead focused on developing custom silicon solutions for Google's server infrastructure, including hardware for AI/ML systems. The role involves leading design activities from IP to SoC level, planning and executing projects, and collaborating with design and verification engineers. While the role is within an organization that supports AI/ML infrastructure, the core responsibilities are in hardware design (RTL) rather than direct AI/ML model development or deployment.