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 Systems Configuration Engineer within Google Technical Operations, you will join the team responsible for designing and delivering highly 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 complex 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 superb 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 internal business processes and procedures.

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 team 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 $132,000-$189,000 + 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 finished good assemblies based on customer and technical infrastructure requirements.

• 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.

• Create required design documentation (bills of materials, payload layouts, wiring diagrams) for approved production definitions for rack systems.

Minimum qualifications

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.

• 2 years of experience in hardware configuration management, manufacturing engineering, or systems integration.

• Experience creating and managing technical production definitions (e.g., Bills of Materials (Bo Ms), wiring diagrams, or physical rack layouts).

• Experience working with Product Lifecycle Management (PLM) systems or similar configuration databases.

Preferred qualifications

• Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).

• Experience developing and maintaining system level compute architectures, with understanding of interdependencies from a power, networking, and physical interface perspective.

• Experience influencing the product design process for design for manufacture and assembly considerations.