About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

As a Configuration Engineer within Google Technical Operations, you will join the team responsible for designing and delivering efficient and capable system configurations to Google’s data center fleet. You will unleash your significant talents to collaborate with cross-functional teams to deliver configuration engineering designs. This includes working with stakeholders and customers to ensure that we deliver well-engineered compute permutations. You will help the product teams deliver consistent results while improving process transparency and predictability. To be successful in this role, you must have problem solving skills and demonstrate the ability to apply new technologies to designs. You will become a subject matter expert on the incumbent process and data structures. You will also influence and affect the transformation of of internal business processes and procedures.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $138,000-$202,000 + 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 share 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 benefits at Google.

Responsibilities

• Design and create system-level deployment configurations for Machine Learning (ML) Pod assemblies based on customer and technical infrastructure requirements.

• Create required design documentation (Bo Ms, payload layouts, wiring diagrams) for approved production definitions for ML Pod systems.

• Provide technical expertise and system-level guidance to internal design and development teams to ensure deployment of optimized configurations.

• Participate in and contribute to cross-functional transformation efforts as pertinent to configuration engineering processes and deliverables.

• Provide engineering and manufacturing guidance to our integration supply chain partners, as it pertains to system configuration and installation.

Minimum qualifications

• Bachelor's degree in Mechanical Engineering or equivalent practical experience.

• 8 years of experience in manufacturing or compute architectures.

Preferred qualifications

• Master's degree or PhD in Electrical, Mechanical, Industrial, Materials, or a related engineering field.

• Experience setting up manufacturing assembly processes, driving product launches and assembly process optimization within manufacturing operations.

• Experience in technical leadership, project management, and executive communication.