Datacenter Electrical Engineer

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Cerebras

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔧 Hardware

🤖 Artificial Intelligence

☁️ SaaS

Hardware • Artificial Intelligence • SaaS

Cerebras is a company that builds wafer-scale AI chips (the Wafer-Scale Engine) and systems purpose-built for ultra-fast AI inference and training. They offer the CS-3 system and Cerebras Inference Cloud with drop-in OpenAI API compatibility, enable on-premise, cloud, and edge deployment, and partner with companies like AMD, CrowdStrike, Flex, and major enterprises. Their product messaging emphasizes extremely large chips (58x larger than GPUs), massive speed and throughput (up to 15x faster inference, thousands of tokens per second), and use cases across model serving, fine-tuning, and pre-training. Customers include OpenAI, Meta, GSK, Mayo Clinic, AWS, and others; applications span AI infrastructure, real-time agents, genomics, drug discovery, cybersecurity, and enterprise search. Cerebras focuses on high-performance AI hardware and integrated software/platform offerings for training and inference.

📋 Description

• 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. • Review designs, calculations, submittals, equipment selections, and shop drawings produced by colocation providers, consultants, EPC contractors, and vendors. • Coordinate electrical requirements with liquid-cooling systems, CDUs, pumps, controls, life-safety systems, and other critical mechanical infrastructure. • Support factory acceptance testing, site acceptance testing, integrated systems testing, energization, commissioning, and operational readiness activities. • Identify electrical risks, constraints, long-lead equipment, and constructability issues early and drive practical resolution across internal and external teams. • Ensure designs comply with applicable codes and standards, including NEC, NFPA, IEEE, UL, NEMA, IEC, local utility requirements, and regional regulations. • Evaluate new power technologies and vendors and incorporate lessons learned into repeatable global deployment standards.

🎯 Requirements

• Bachelor's degree in Electrical Engineering or a related engineering discipline. • 7+ years of electrical engineering experience supporting mission-critical, hyperscale, colocation, semiconductor, industrial, or similarly complex facilities. • Strong knowledge of medium- and low-voltage power distribution, transformers, switchgear, generators, UPS systems, busway, grounding, protection, metering, and rack power systems. • Experience developing or reviewing electrical Basis of Design documents, specifications, one-line diagrams, calculations, and technical submittals. • Working knowledge of NEC, NFPA 70E, IEEE standards, UL/NEMA requirements, and applicable electrical safety practices. • Experience coordinating with multidisciplinary engineering teams, utilities, consultants, contractors, equipment manufacturers, and data center operators. • Ability to review technical studies such as load flow, short-circuit, coordination, arc-flash, voltage-drop, grounding, and harmonic analyses. • Strong technical judgment, problem-solving ability, written communication, and attention to detail. • Ability to travel to project sites, vendor facilities, and partner data centers as required. • 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.

🏖️ Benefits

• Build a breakthrough AI platform beyond the constraints of the GPU. • Publish and open source their cutting-edge AI research. • Work on one of the fastest AI supercomputers in the world. • Enjoy job stability with startup vitality. • Our simple, non-corporate work culture that respects individual beliefs.