Data Center Power Systems Engineer — Innovate & Optimize

Google; United States; On-site; USD 214,000 - 298,000; Full time

Benefits offered by this job

Health insurance

401(k) match

PTO 20 days

Sick time 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

13 paid holidays

Job summary

Google is seeking a Power Systems Engineer to lead the design and optimization of data center electrical infrastructure across multiple U.S. locations including Reston, VA and Kirkland, WA. You will own outcomes, influence stakeholders, and drive architecture for efficient, scalable power systems.

You will ensure compliance with NEC and building codes while collaborating with Google teams to advance long-term data center roadmaps in the AI era.

Qualifications

• Bachelor's degree in Electrical Engineering or related technical field.
• 12 years of experience in mission critical facility design and construction environments.

Responsibilities

• Lead the design and optimization of data center equipment, systems, and global operational strategies.
• Oversee system development across electrical, power, energy, and control systems to optimize design efficiency.
• Analyze system performance data and present technical tradeoffs to support executive decisions; work with partners to design for constructability, reducing costs and delivery times.
• Refine engineering processes to eliminate waste while scaling successful practices.

Skills

Outcomes ownership

Stakeholder influence

Ambiguity handling

Education

Bachelor's degree in Electrical Engineering

Master's degree in Engineering, Business or related field

PE license

Job description

Google is seeking a Power Systems Engineer to lead the design and optimization of data center electrical infrastructure across multiple U.S. locations including Reston, VA and Kirkland, WA. You will own outcomes, influence stakeholders, and drive architecture for efficient, scalable power systems.

You will ensure compliance with NEC and building codes while collaborating with Google teams to advance long-term data center roadmaps in the AI era.