Lead Engineer, Critical Facility Operations

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack 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

• Provide technical leadership and authority for the safe, reliable operation of critical environments across Cerebras’ global footprint • Serve as a technical escalation resource for physical infrastructure operational issues • Assess and troubleshoot CDUs and associated cooling systems, including flow, pressure, temperature, water quality, heat exchange, redundancy, and facility-to-equipment interfaces • Evaluate environmental monitoring and controls, including building management systems, electrical power monitoring, sensors, alarms, interlocks, and sequences of operation • Support electrical and mechanical incident response, lead technical investigations and root cause analyses, and develop corrective actions • Review maintenance strategies, operating procedures, and proposed changes for technical adequacy and operational risk • Support commissioning and operational acceptance of new sites • Translate product requirements into operating limits and influence product improvements • Partner with Critical Facility Operations program management on program development and maturity • Perform operational engineering assessments of prospective sites and provider proposals • Develop and maintain operational and engineering standards, approved operating limits, and equipment-interface requirements • Partner with Product Engineering, EPC, Build & Deploy, and equipment manufacturers to validate facility-to-product interfaces and investigate coupled failure modes • Develop risk-based maintenance requirements and facility-spares recommendations • Define and witness functional, failover, and recovery testing • Establish technical baselines and maintain accurate operating documentation • Provide technical review and approval within delegated authority and escalate unacceptable risks • Help grow the regional engineering operations program, team, and scope; mentor engineers and site teams and lead reliability improvements

🎯 Requirements

• 10+ years of relevant data center experience, with substantial responsibility for live, mission-critical environments • Deep expertise in environmental controls, including hands-on experience with Coolant Distribution Units (CDUs) and data center cooling systems • Strong practical understanding of data center electrical and mechanical infrastructure and how these systems interact • Ability to assess interconnected systems, recognize technical limitations, and engage qualified specialists when needed • Working knowledge of data center white space, including servers, storage, networking equipment, racks, and associated data hall infrastructure • Proven experience leading technical incident response, root cause analysis (RCA), commissioning, or operational acceptance activities • Engineering degree, relevant technical qualification, or equivalent practical experience • Willingness and ability to travel up to 50% of the time • Must satisfy applicable U.S. export compliance requirements

🏖️ Benefits

• Job stability with startup vitality • Simple, non-corporate work culture that respects individual beliefs • Continuous learning, growth and support • Opportunity to publish and open source cutting-edge AI research • Opportunity to work on one of the fastest AI supercomputers in the world • Fully remote work arrangement • Travel expectations, especially long-term, are negotiable

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