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.
In this role you will be responsible for the deployment of capacity in Google’s Fleet. You will lead cross-functional program planning and execution to deliver next generation systems from Concept to End of Life (EOL), with operational excellence and speed. As part of this team, your test solutions are fundamental to enabling the rapid and reliable scaling of Google's Artificial Intelligence (AI) infrastructure.
In the Product and Test Engineering team, we're proud to be our engineers' engineers. We grow on the tests of solving complex test problems, ensuring that designs transition successfully into high-volume manufacturing, and making advanced technology work flawlessly at massive scale. Your contributions will directly impact the quality and reliability of the hardware powering Google's services.
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:
- Develop, validate, and deploy manufacturing test hardware, software scripts, and diagnostics for new ML products from New Product Introduction (NPI) through volume production.
- Partner with Design Engineering to implement Design for Test (DFT) features, optimizing product manufacturability and test coverage early in the cycle.
- Lead test station bring-up, qualification, and troubleshooting at contract manufacturer sites to resolve technical issues during critical NPI builds.
- Analyze yields and failure modes from manufacturing data to drive test process improvements, enhance coverage, and support root-cause failure analysis.
- Author comprehensive test plans, procedures, and reports while executing tasks in strict alignment with ML-NPI program milestones.
Minimum qualifications:
- Bachelor's degree in Electrical Engineering, Computer Science, a related technical field, or equivalent practical experience.
- 5 years of experience in manufacturing or test engineering.
Preferred qualifications:
- Master's degree in Electrical Engineering, Computer Science, or a related field.
- 8 years of experience in Test Engineering.
- Experience in custom test hardware design, fixtures, instrumentation, and station bring-up, and in Advanced Python, Bash, and Shell scripting for test automation across Linux.
- Experience in DFT, System-Level Testing (L6/L10/L11), GR&R, calibration, and correlation, and collaborating with CMs, OEMs, JDMs, and ODMs.
- Ability to travel upto 15% internationally.
- Strong background in functional testing for server, storage, and networking products, including air/liquid cooling and RMA/Failure Analysis.
