The opportunity
We are looking for an experienced Data Center Electrical Engineer to develop, review, and deliver the electrical infrastructure required for Cerebras' next-generation AI cluster deployments. This role will translate the power requirements of Cerebras systems into safe, reliable,…
What you'll do
Develop and maintain electrical design criteria, specifications, standard: details, and Basis of Design documentation for Cerebras data center deployments.
Translate AI system, rack, and cluster power requirements into complete: facility electrical architectures with appropriate capacity, redundancy, selectivity, and maintainability.
Partner with internal manufacturing, hardware, mechanical, thermal, controls,: networking, and systems engineering teams to define power interfaces and deployment requirements.
Design and review utility service, medium-voltage and low-voltage: distribution, transformers, switchgear, generators, UPS systems, static transfer switches, busway, PDUs, RPPs, and rack-level power distribution.
Perform or review load flow, short-circuit, protective device coordination,: arc-flash, grounding, harmonic, voltage-drop, and reliability studies.
Develop power capacity models, one-line diagrams, equipment schedules,: sequence-of-operations narratives, and technical requirements for high-density AI clusters.
What they're looking for
- Master's degree in Electrical Engineering or a related discipline.
- Professional Engineer (PE) license or equivalent professional registration.
- Experience with high-density AI, HPC, semiconductor, or liquid-cooled data center deployments.
- Experience with commissioning, integrated systems testing, and energization: of mission-critical electrical systems.
- Familiarity with ETAP, SKM, EasyPower, or comparable electrical analysis: tools, and with BIM/Revit-based design coordination.
- Experience working with global colocation providers, utilities, EPC firms,: and long-lead electrical equipment suppliers.
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
