Minimum qualifications:- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related technical field, or equivalent practical experience.
- 8 years of experience with software system design, architecture, and creating technical design documentation in a manufacturing or supply chain environment.
Preferred qualifications:- Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, or equivalent practical experience.
- Experience setting up manufacturing assembly processes, managing product launches and assembly process optimization within manufacturing operations.
- Experience in technical leadership, project management, and executive communication.
About the jobBe 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.
The PLaTO Manufacturing Systems Engineering team builds applications to support the Manufacturing Test of Data Center products. We own the development of hardware and software solutions that are deployed on factory floors worldwide. If you have interacted with Google today, you have used machines that have run through our code!
Our team provides software tools to support manufacturing test processes. We develop code in python and Golang that runs on factory machines around the world as well as in Google Cloud Platform (GCP).
We provide software and services that run at factories producing Google products as well as other support for the Test Engineer teams. Our products include OpenTest.(test executive) and Sentinel, an active factory adaptive test platform with components in GCP and Google's internal cloud infra.
In this role, you will develop and maintain Python code and Golang. You will execute to a software development lifecycle that includes customer intake, writing specifications, doing code reviews and releasing software. You will participate in Agile sprints and adhere to good coding practices. You will also need to be comfortable speaking to our contract manufacturers' IT teams about how to integrate our solutions into their networks.
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 $144,000-$209,000 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.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities- Develop software applications and test automation frameworks for a manufacturing environment, adhering to industry standard software development lifecycle practices.
- Interact with internal users to gather business requirements and review software specifications.
- Lead cross-functional design projects that may require interactions outside the company.
- Mentor junior team members.
