Manufacturing Engineer, Product Operations at Google
Google · Sunnyvale, United States Of America · Onsite
- Professional
- Office in Sunnyvale
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, a related discipline, or equivalent practical experience.
- 8 years of experience at a company developing supply chains in manufacturing and test.
- Experience working with ODMs, contract manufacturers, and component suppliers for hardware in the data center networking topology.
Preferred qualifications:
- Master's degree in Electrical Engineering, or a related field.
- 8 years of experience at a company developing supply chains for data center infrastructure equipment.
- Experience with high-speed optical and copper network infrastructure design and testing methodologies including ethernet, serial bus interfaces, transceivers, or BERT.
- Experience in working with contract manufacturers and suppliers to drive root cause.
- Experience with Python/SQL scripting.
- Understanding of CMOS devices, fabrication processes, ATE test, DFT, quality, and reliability.
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.
The Product Operations team within the supply chain is developing new products in the networking and optics space. In this role, you will be working closely with Platform Infrastructure Engineering, External Vendors/Suppliers, other Supply Chain teams and EMS (Electronics Manufacturing Services)/JDM (Joint Design Manufacturer) partners.
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 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. 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 $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
- Lead reviews between Design and Operations Engineering to drive deliverables that are key to implementing the manufacturing plan, such as Design For Excellence (DFx) and test strategy.
- Provide on-site and remote support for pre-production builds. Ensure factory readiness, support manufacturing line bring-up, provide product debug training and gather feedback on build issues. Drive yield bridge analysis to improve product quality.
- Lead the technology assessment for new products. Co-work with the Product team to influence design decisions, highlight manufacturing risks, and develop mitigation plans.
- Collaborate with Quality and Reliability Engineers to establish NPI and production goals for yield and long-term reliability. Validate product qualification plans, support reliability testing and review results to ensure product performance meets requirements.
