Data Center Technician II, Travel, Machine Learning

Data Center Technician II, Travel, Machine Learning corporate_fare Google place Midlothian, TX, USA ; Red Oak, TX, USA bar_chart Early Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes. info_outline X This role is not eligible for U.S. immigration sponsorship.

Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Midlothian, TX, USA; Red Oak, TX, USA .

Minimum qualifications:

2 years of experience diagnosing and troubleshooting operating systems and computer/server hardware or networking protocols. Experience with performing component-level repairs and troubleshooting on technical equipment. Ability to travel up to 100% of the time for one 6 month rotation on a travel team as needed. Must have the ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.

Preferred qualifications:

Bachelor's degree or equivalent practical experience. Completion of the online Google IT Support Professional Certificate program. Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.). Experience working within a data center or network operation center environment. Ability to collaborate and partner with teams to overcome challenges, and to adapt to changes in a dynamic work environment. Ability to assist in deploying, repairing and troubleshooting next generation ML platforms and providing feedback to local deployment/project teams. About the job Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. 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. 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. The US base salary range for this full-time position is $78,500-$110,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities Deploy and operate new data center infrastructure across projects or functions. Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues. Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards. Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting. Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.