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Cerebras

AI accelerator hardware replacing GPUs

Lead Engineer - Critical Facility Operations

Facilities ManagementPosted on Nov 10
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • At least 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, commissioning, or operational acceptance activities.
  • An engineering degree, relevant technical qualification, or equivalent practical experience.

Responsibilities

  • Serve as a technical escalation resource for physical infrastructure operational issues, partnering with site teams, lessors, equipment manufacturers and service providers, as well as internal partners.
  • 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 investigation and root cause analysis, and develop corrective actions with clear verification criteria.
  • Review maintenance strategies, operating procedures and proposed changes for technical adequacy, operational risk and effects on redundancy.
  • Support commissioning and operational acceptance of new sites through review of test evidence, maintainability, controls performance, documentation and unresolved deficiencies.
  • Translate product requirements into operating limits and influence product improvements.
  • Work in partnership with CFOps program management on program development and maturity, providing technical expertise and validation through engineering approval.
  • Perform operational engineering assessments of prospective sites and provider proposals, identifying limitations in redundancy, maintainability, controls, recovery capability and contractual operating commitments.
  • Support development and maintenance of operational and engineering standards, approved operating limits and equipment-interface requirements, including electrical distribution, liquid cooling and controls.
  • Partner with Product Engineering, EPC, Build & Deploy and equipment manufacturers to validate facility-to-product interfaces, investigate coupled failure modes, and translate operating experience into product and facility improvements.
  • Develop risk-based maintenance requirements and facility-spares recommendations; assess provider maintenance scopes and completed-work evidence for technical adequacy.
  • Define and witness appropriate functional, failover and recovery testing, verifying that control sequences, alarms and redundancy behave as intended under normal and degraded conditions.
  • Establish technical baselines and maintain accurate operating documentation, including system dependencies, approved settings, procedures and engineering deviations; assess fleet exposure to recurring defects and equipment obsolescence.
  • Provide technical review and approval within delegated authority, escalate unacceptable risks, and require work to stop when conditions are unsafe or outside approved operating limits during delivery and/or operations.
  • As the portfolio expands, help grow the regional engineering operations program, team and scope by setting technical operating practices, mentoring engineers and site teams, leading reliability improvement across sites, and contributing to global standards and future facility requirements.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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