Test Development Engineer, Global Manufacturing Engineering
Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. As a part of the Global Manufacturing Operations team, you will be responsible for providing the manufacturing capability to deliver physical infrastructure.
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 team behind Google's groundbreaking innovations, empowering the development of our 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.
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience.
- 5 years of experience in software development.
- Experience developing and validating Python scripts to automate manufacturing test processes.
Preferred qualifications:
- Experience in manufacturing product testing, specifically collaborating with partners or contract manufacturers (original design manufacturer, original equipment manufacturer, joint design manufacturer).
- Experience developing diagnostic tools or automated test frameworks.
- Experience in SQL and database management, with data analytics skills to interpret datasets and drive actionable manufacturing insights.
- Understanding of hardware debugging and test engineering principles to ensure seamless production quality.
- Understanding of software system architecture and the full development lifecycle, ensuring scalable and maintainable code.
- Proficiency in operating system configuration and scripting, with a primary focus on Linux environments.