Product Engineer, ARM Servers, Storage and ML Systems at Google

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Oct, 26

Salary

209000.0

Posted On

20 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Design For Manufacturing, Root Cause Analysis, Corrective Actions, Process Improvement, Design Validation Test, Data Analytics, Quality Data Systems, New Product Introduction, Bill Of Materials, Product Data Management, Electrical Engineering, Reliability Engineering

Industry

Software Development

Description

MINIMUM QUALIFICATIONS: * Bachelor's degree in Engineering or equivalent practical experience. * 8 years of experience in electrical devices, fabrication processes, test, design for manufacturing, quality, or reliability engineering. * Experience working with Original Device Manufacturers (ODMs), Contract Manufacturers (CMs), and suppliers to lead root cause analysis, corrective actions, and process improvements. PREFERRED QUALIFICATIONS: * Master's degree in Electrical Engineering, or a related field. * 10 years of experience working at a company developing supply chains, manufacturing and test for new server and storage type products for the IT industry. * Experience in creating and executing a design validation test plan on an electronic assembly. * Experience in data analytics and quality data systems. ABOUT THE JOB: Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $144000 - $209000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/]. RESPONSIBILITIES: * Lead design for manufacturing efforts across teams to ensure server/storage designs, process, test, and quality standards are enhanced for production. * Lead and guide Subject Matter Experts to ensure the product meets our specifications. * Ensure manufacturing sites are prepared for product builds ahead of time. Provide on-site support and lead defect correction efforts post build. * Work with the Product Quality Engineer to establish product quality and reliability goals. Validate product qualification plans, support product qualification testing, and review product qualification test results to ensure product performance meets requirements. * Coordinate release of New Product Introduction (NPI) Bills of Materials (BOMs) into Product Data Management (PDM) system. Perform technical review of product changes and assess impact on supply chain.

Responsibilities

Lead design for manufacturing efforts to enhance server and storage production standards and quality. Coordinate with vendors and internal teams to ensure manufacturing sites are prepared and product specifications are met.