Lead Power Systems Engineer – Data Center

Google

Sunnyvale (CA)

On-site

USD 214,000 - 298,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
401(k) with company match
Paid time off
Sick time
Holidays

Job summary

Google is seeking a senior data center infrastructure engineer in Sunnyvale to lead the design and optimization of critical data center power and electrical systems. You will drive innovative architectures and collaborate with Hardware, Software, Supply Chain, and Operations teams to scale infrastructure for AI workloads.

Strong leadership and cross-team influence are essential. You will ensure code compliance, guide architectural directions, and deliver scalable infrastructure strategies across

Qualifications

  • Bachelor's degree in Electrical Engineering or related field; 12 years in mission-critical facility design and construction.
  • Master's degree or PE license preferred.
  • Experience with HV/MV/LV power systems and NEC/building codes.

Responsibilities

  • Lead design and optimization of data center equipment, systems, and global operational strategies.
  • Oversee electrical, power, energy, and control systems to optimize design efficiency.
  • Analyze system performance data and present tradeoffs to support executive decision-making; collaborate with partners to design for constructability.
  • Refine engineering processes to eliminate waste while scaling successful practices.
  • Influence cross-functional teams to deliver technical solutions and align with shared goals.

Skills

Electrical engineering
Power systems
Data center design
Technical leadership
NEC knowledge

Education

Bachelor's in EE
Master's degree / PE license preferred

Job description

Google is seeking a senior data center infrastructure engineer in Sunnyvale to lead the design and optimization of critical data center power and electrical systems. You will drive innovative architectures and collaborate with Hardware, Software, Supply Chain, and Operations teams to scale infrastructure for AI workloads.

Strong leadership and cross-team influence are essential. You will ensure code compliance, guide architectural directions, and deliver scalable infrastructure strategies across

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