Supplier Quality Engineer, Power

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Sunnyvale, CA, USA;
Austin, TX, USA
.

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Power related field, or equivalent practical experience.
• 5 years of experience in the power technology and manufacturing process.
• Experience in statistical product quality control, process capability, reliability, failure analysis, and process improvement.

• Certification in American society for quality (e.g., CQE, CQM, CRE, or CQA).
• Master's degree in Electrical Engineering, Mechanical Engineering, Industrial Engineering, Power related field, or equivalent practical experience.
• 10 years of experience in quality, reliability, or supplier quality management.
• Experience with reliability prediction tools.
• Experience with scripting languages and SQL.

Google’s custom‑designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting‑edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you’re sure it meets Google’s standards of quality and reliability.

Google’s custom‑designed equipment makes up one of the largest and most computing infrastructures in the world. The Google Hardware Quality and Reliability team is responsible for delivering this physical infrastructure.

As a Supplier Quality Engineer (SQE), you will assess supplier designs, manufacturing, quality and reliability powering Google’s technical infrastructure technology. When suppliers build parts for our infrastructure, you are right there alongside assuring manufacturing processes are repeatable and controlled and there is alignment on the appropriate requirements. You will collaborate with others to determine Google’s infrastructure needs and product specifications and to make sure maximize multi‑sourcing for each component.

Your work ensures Google infrastructure fits perfectly and keeps our systems humming along for a seamless user experience. You will work directly with supplier partners managing all aspects of power supplier quality. You will collaborate with hardware designers, commodity managers, manufacturing engineers and drive supplier failure analysis. You will establish true root causes, and drive systemic corrective actions with demonstrated preventative solutions.

You will extract and analyze data from supplier facilities, Google production lines, and our data centers to measure product performance and drive improvements.

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 $115,000-$166,000 + 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.

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