Senior Staff Software Engineer, Kernel Security and Virtualization GoogleSenior Staff Software Engineer, Kernel Security and VirtualizationSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
Strategic Negotiator III, Data Center Land Development and Portfolio Management GoogleStrategic Negotiator III, Data Center Land Development and Portfolio ManagementSan Francisco, CAAs a Strategic Negotiator and Portfolio Manager, you will work with the land acquisition team and other cross functional project teams to ensure that owned land assets complete all required pre-data center construction development activities to meet the requirements of the asset supply plan of record (APOR) for data center capacity delivery, which includes delivering sites at the time, cost, capacity, and with the characteristics as required, ensuring the ability to construct reliable, scalable, and cost-effective data center capacity. The Infrastructure Construction and Asset Management (ICAM) team, a component of the broader AI2 organization, is responsible for overseeing Google's off-site infrastructure, inventory land development, and both leased and owned data center assets.
Silicon CAD Engineer, University Graduate, PhD GoogleSilicon CAD Engineer, University Graduate, PhDSunnyvale, CAIn this role, you will work with CI2 Silicon Development teams and your peers in the Infrastructure, Tools, and Methodology team to develop and enhance design tools and design flows that speed the development of CI2's ground-breaking TPU, CPU, and networking chips and enable them to provide generational improvements in performance, power, and cost while enhancing reliability. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Principal Systems Engineer - Cloud Services Stamford American International HospitalPrincipal Systems Engineer - Cloud ServicesPalo Alto, CA$79.21–$104.97 / hourAs a Principal System Engineer – Cloud Services, You will oversee Stanford Health Cares cloud infrastructure, managing deployment, optimization, and support of cloud-native applications and services to ensure high performance and security. This role is vital for supporting initiatives related to modern application platforms, generative AI, machine learning, data engineering pipelines, Databricks environments, and DevOps frameworks.
NewSenior Forward Deployed Engineer (DevOps/SRE) JobotSenior Forward Deployed Engineer (DevOps/SRE)Pleasanton, CA$300,000–$350,000 / yearThe founding team includes senior leaders and technical pioneers from industry giants like AWS, Cisco, VMware, and Gigamon - holding dozens of patents and having built critical systems at some of the most respected tech companies in the industry. 6+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or similar infrastructure-focused roles, including technical leadership or end-to-end customer delivery.
Senior Product Manager, Infrastructure Reliability GoogleSenior Product Manager, Infrastructure ReliabilitySunnyvale, CAPartner closely with google cloud platform service/product teams, central engineering, capacity planning, data center design and operations, and UX to translate customer needs into well-defined market and product requirements. Be the customer advocate; drive user research, market analysis, and data analysis to deeply understand workflows, pain points, and unmet needs of enterprise customers and service owners.
Data Engineer LancesoftData EngineerSan Francisco, CA$66You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making. The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP).
NewSite Reliability Engineering ForhyreSite Reliability EngineeringSan Francisco, CAParticipate in critical incident management and timely post-mortems of production incidents to drive practices around blameless analysis, resolution, and continuous improvement work with cross-functional teams Develop the rest of the team by conducting code reviews, providing mentorship, pairing, and training opportunities. You'll have the opportunity to design and implement major infrastructure components, systems, and developer-friendly capabilities to improve the availability, scalability, latency, and efficiency of our services.
Data Engineer (Remote) LancesoftData Engineer (Remote)San Francisco, CARemote$40You will collaborate with Product Managers, Solution Architects, Data Architects, Business SMEs, and engineering teams to develop scalable, high-quality data solutions that enable advanced analytics, and AI-driven decision making. The ideal candidate is a hands-on technical leader with deep expertise in building modern cloud-native data platforms on Google Cloud Platform (GCP).
Data Engineer Pride GlobalData EngineerSan Francisco Remote, CARemote$40–$42 / hourAs a Data Engineer, you will work closely with Product Managers, Data Architects, Solution Architects, Business Analysts, and fellow engineers to design, build, test, and maintain cloud-native data solutions on Google Cloud Platform (GCP). This applies to direct care staff (Examples: RN, LPN, Nurse Aides, Therapists) referred to Kentucky nursing facilities, assisted living communities, or long-term care facilities, in accordance with KRS 216.793.
Senior Software Engineer, Managed Spark, Open Source GoogleSenior Software Engineer, Managed Spark, Open SourceSunnyvale, CAWe're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Cloud Dataproc enables open source data analytics users (e.g., Apache Hadoop, Spark, Flink, Trino, etc.) to modernize their Open-Source BigData Analytics workloads in the cloud.
Sr. IT Infrastructure Engineer ZiplineSr. IT Infrastructure EngineerSan Francisco, CAYou will be successful when access is increasingly determined by well-defined roles and business attributes rather than manual requests, provisioning and deprovisioning are highly automated, joiner, mover, and leaver processes are reliable and scalable, and the platforms and integrations you own are well-architected, documented, supportable, and require fewer manual interventions. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible.
Data Engineer PeopleNTech LLCData EngineerSanta Clara, CAExtensive experience utilizing Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataprep, and Pub/Sub, for data engineering solutions. Expertise in using Git for version control in DBT projects, ensuring proper tracking and documentation of data model changes.
Staff Software Engineer, ARM Product GoogleStaff Software Engineer, ARM ProductSunnyvale, CAUtilizing custom CPUs developed by Google, the team is responsible for implementing critical boot-level software components including Basic Input/Output System (BIOS) and firmware/software (FW/SW) drivers and driving the New Product Introduction (NPI) phases to deploy new machines into the fleet with a high quality bar. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Robotics Automation Technical Lead Manager, Platforms Infrastructure GoogleRobotics Automation Technical Lead Manager, Platforms InfrastructureSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Head of Energy Risk Management and Grid Modeling GoogleHead of Energy Risk Management and Grid ModelingSan Francisco, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
RTL Design and Integration Engineer, TPU and ML GoogleRTL Design and Integration Engineer, TPU and MLSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. In this role, you will join the team designing and developing the On-Chip Network of Google's next-generation Tensor Processing Units (TPUs), the custom-built accelerators powering our AI and machine learning workloads in datacenters.
Hardware Emulation Lab Engineering Lead GoogleHardware Emulation Lab Engineering LeadSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. You will manage rapidly growing install base of over 50 racks of specialized hardware from vendors like Cadence and Synopsys, along with multiple corporate and production hosts, all requiring specialized care and feeding.
Physical Design Technical Lead, ASIC, TPU GooglePhysical Design Technical Lead, ASIC, TPUSunnyvale, CABecause of the sheer scale of our chips, our physical design leadership is highly dynamic; you will be expected to drive end-to-end execution with a scope that scales from owning highly complex, critical macro-subsystems up to overarching project-wide top-level implementation, depending on project needs. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Data Center Controls Engineer, Cyber Security GoogleData Center Controls Engineer, Cyber SecuritySan Francisco, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We're the driving channel behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.