In this role, you will support new product engineering within Google’s hardware research and development labs by designing, building, and maintaining data center-scale system testbeds. Our Engineering Lab team manages this critical infrastructure to ensure product teams can focus on core development. We pride ourselves on our versatile, wide breadth technical experience and our ability to bridge the operational gaps between specialized development groups.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $231000 (USD) + 15% bonus target + equity + benefits
Learn more about
benefits at Google.
Responsibilities
- Help design and build system-level testbeds and maintain lab space, tools, and infrastructure.
- Work with teams to develop software and hardware systems and develop methodologies and tools to support team members.
- Coordinate the interactions between labs and engineering.
- Anticipate and resolve problems by applying knowledge and skills, escalating design, manufacturing, and product testing issues to other people within the organization when appropriate.
- Generate implementation plans and provide technical expertise and guidance during deployment activities.
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field, or equivalent practical experience.
- 4 years of experience working in a data center or networking operation center technical environment.
Preferred qualifications:
- Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Understanding of network design, protocols, and troubleshooting.
- Understanding of computer systems: physical, functional, logical, mechanical, electrical, software, thermal etc.
- Ability to read and write code in Python or any other scripting language.
- Excellent communication skills with an ability to act as a team player.
- Excellent time management skills with an ability to manage constant priority changes and deadlines.
This is a specialized role which requires physical interaction with hardware equipment in a simulated data center environment, utilizing Google labs, power, and safety equipment. Regular development and processing of engineering hardware must be performed on site.