Senior Data Center Electrical R&D Engineer (AI Infra)

OpenAI, Inc.

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

4 days ago
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Job summary

OpenAI seeks an experienced Data Center Electrical R&D Engineer to develop and validate next-generation power architectures for high-density AI infrastructure. You will research, design, prototype, and validate systems for utility interconnection, rack-level power delivery, and integrated power/cooling solutions.

You will collaborate with hardware, controls, mechanical, and external partners to move concepts from simulation to pilot testing and large-scale deployment, shaping reusable reference

Qualifications

  • Bachelor's degree in electrical engineering.
  • 10+ years in electrical engineering, power-system design, or data-center infrastructure.
  • Experience with power-system modeling, short-circuit analysis, and protection.
  • Ability to translate requirements into testable engineering concepts and architectures.

Responsibilities

  • Develop advanced electrical architectures for high-density AI data centers, from utility interconnection through rack-level power delivery.
  • Translate compute-platform requirements into electrical capacity, topology, redundancy, and control requirements.
  • Model electrical-system performance, capacity, efficiency, reliability, fault conditions, and transient behavior.
  • Lead testing and validation across lab, pilot-site, and field environments.

Skills

Power distribution
Medium voltage
Testing & validation
Electrical design
System architecture
Electrical codes

Education

Bachelors in EE

Tools

ETAP
PSCAD
MATLAB/Simulink
EasyPower

Job description

OpenAI seeks an experienced Data Center Electrical R&D Engineer to develop and validate next-generation power architectures for high-density AI infrastructure. You will research, design, prototype, and validate systems for utility interconnection, rack-level power delivery, and integrated power/cooling solutions.

You will collaborate with hardware, controls, mechanical, and external partners to move concepts from simulation to pilot testing and large-scale deployment, shaping reusable reference

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