Rack Power Architect – Data Center Platforms

Google; Sunnyvale (CA); On-site; USD 132,000 - 189,000; Full time

Job summary

Google is seeking a Rack Power Engineer to design and deploy power systems for our data centers. You will work on in-rack power conversion, power shelves, PDUs, and energy storage solutions, collaborating with vendors and internal teams to meet machine learning, compute, and storage needs.

You will model power performance, participate in validation, and guide projects from concept to manufacturing. The role emphasizes cross-functional teamwork, problem solving, and delivering reliable,

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
• 2 years of experience working on AC/DC and power delivery systems, or 1 year of experience with an advanced degree.
• Experience in power design.

Responsibilities

• Innovate and design in-rack and data center power conversion specifications and solutions including power supplies, power shelf, power distribution unit (PDU), battery backup system, etc. Analyze performance, cost, reliability and availability trade-offs.
• Build and validate component and system level power simulation models for AC and DC power systems.
• Collaborate with cross-functional teams to understand application requirements and partner with power industry leaders to evaluate and adopt compelling technologies.
• Lead projects that involve new technologies or new uses of multiple existing technologies.
• Engage cross-functionally to ensure successful roll-out, testing, and complete validation.

Skills

Power delivery experience

AC/DC power design

Education

Bachelor's degree in Electrical Engineering or related field

Master's degree or PhD in Power Electronics or related discipline

Job description

Google is seeking a Rack Power Engineer to design and deploy power systems for our data centers. You will work on in-rack power conversion, power shelves, PDUs, and energy storage solutions, collaborating with vendors and internal teams to meet machine learning, compute, and storage needs.

You will model power performance, participate in validation, and guide projects from concept to manufacturing. The role emphasizes cross-functional teamwork, problem solving, and delivering reliable,