Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we have got to make it ourselves. Our Platforms Team designs and builds the hardware, software and networking technologies that power all of Google's services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers affecting millions of Google users. As a key member of the team, you manage projects in multiple areas with your expertise. You also monitor the performance of vendors working on projects and evaluate new technologies.
As a Power Engineer in Technical Infrastructure, you will play a key role in the development of one of the world's fastest growing computing infrastructures. You will work as part of a team to deliver innovative power solutions for point of load application. Your objective will be to design, analyze, optimize and implement board, chip level power topologies and control for large scale point of load application including ASICs, FPGAs and processors.
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 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 $132,000-$189,000 + 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
- Innovate and design on board power conversion specifications and solutions. Analyze performance, cost, reliability and availability trade-offs.
- Support projects that involve new technologies or new uses of multiple existing technologies.
- Partner with power industry leaders to lead evaluation and adoption of the most engaging technologies.
- Engage cross functionally to ensure successful roll-out, testing and complete validation.
- Provide technical leadership and direction while troubleshooting complex system level power issues.
Minimum qualifications:
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
- 2 years of experience working with power converter design including DC/DC converter design and board bring up and debugging.
Preferred qualifications:
- Master's or PhD degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
- Experience in power system design.
- Experience with analyzing and organizing data.
- Knowledge of power electronics fundamentals and various power conversion designs for data center power delivery.
- Knowledge of power converter modeling and simulation.
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.