Manager, Manufacturing Test and Product Engineering

1 day ago

Taiwan Google Full time $120,000 - $200,000 per year
info_outlineX

Google welcomes people with disabilities.


Minimum qualifications:
  • Bachelor's degree in Electrical Engineering or Computer Science, or equivalent practical experience.
  • 10 years of experience in product manufacturing or manufacturing test.
  • 8 years of experience in people management.
Preferred qualifications:
  • Master's degree in Electrical Engineering or Computer Science, or a related field, or equivalent practical experience.
  • Experience in working with Original Design Manufacturer (ODMs), contract manufacturers and component suppliers for data center server accelerator products (e.g., Graphics Processing Unit (GPU), Field-programmable Gate Array (FPGA) or Application-Specific Integrated Circuit (ASIC)), and to drive root cause analysis, corrective actions and process improvements.
  • Experience with designing, manufacturing, and deployment of data center compute, accelerator or storage products and related systems/solutions.
  • Ability to manage multiple vendor related activities for manufacturing, test, quality or software systems.
  • Ability to travel internationally as needed.


About the job

Google has one of the largest and most powerful computing infrastructures in the world. Your 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.

Through your leadership, you leverage your technical expertise to design and analyze products and related data, develop and improve manufacturing and supportive processes, and provide consultation to vendors, manufacturers, and internal teams. You lead complex projects to completion by managing resources and activities along the way.

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.

Responsibilities
  • Manage and mentor New Product Introduction (NPI) Product and Test Engineers, setting expectations, providing feedback, tracking progress, and promoting collaborative environment.
  • Make decisions to reduce costs, mitigate risks, and meet deadlines. Possess communication skills to collaborate with stakeholders and encourage team communication.
  • Act as an expert for resolving issues, providing technical leadership, and directing failure analysis and risk management for technical and non-technical tests.
  • Develop and execute plans for NPI activities, aligning them with company goals, optimizing processes, and driving cross-organizational initiatives with impact.
  • Oversee the design of advanced manufacturing solutions, define test strategies, and lead teams in resolving yield issues while collaborating cross-functionally and assessing technology and manufacturing risks.

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