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Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Own Operational Readiness and define and maintain Cerebras Ready-for-Service requirements
- Own the operational acceptance process between Build & Deploy and production operations
- Establish Operational Readiness Reviews for new clusters and major changes
- Ensure monitoring, alerting, runbooks, escalation, support, spares, maintenance, and operator-readiness requirements are satisfied
- Identify readiness gaps and drive them to closure
- Measure Technical Completion to Operational Acceptance performance
- Analyze early-life production issues and improve readiness criteria
- Define scalable O&M models for customer on-premises deployments
- Establish responsibilities and L1/L2/L3 operational boundaries for Cerebras-managed, jointly operated, and customer-operated environments
- Establish maintenance, support, service, and operating procedures
- Build training and competency frameworks for infrastructure operators
- Develop role-based curricula, operator qualification/certification standards, competency matrices, refresher training, requalification mechanisms, drills, and simulations
- Establish operational knowledge-management frameworks and manage runbooks, SOPs, troubleshooting procedures, and operational playbooks
- Translate Engineering knowledge into repeatable operational procedures
- Incorporate incident and reliability learnings into procedures and training
- Evaluate operational suitability of prospective data center environments
- Assess remote-hands capability, staffing, coverage, response SLAs, site access, logistics, spare-parts storage, escalation, maintenance, incident response, serviceability, and operational support maturity
- Provide operational requirements and recommendations to the commercial contracting process
Requirements
What you’ll need- 8+ years in infrastructure operations, service operations, technical enablement, customer infrastructure, production readiness, or related technical fields
- 3+ years leading teams or significant technical programs
- Experience operationalizing complex hardware/software infrastructure
- Experience establishing service-transition or operational-readiness processes
- Strong understanding of production infrastructure operations and support models
- Experience developing technical training, competency, certification, or knowledge-management programs
- Strong customer-facing and cross-functional communication skills
- Ability to turn complex technical knowledge into scalable operational processes
- AI/HPC, large-scale compute, data center, cloud, or semiconductor systems experience preferred
- Experience supporting customer on-premises infrastructure preferred
- Experience developing O&M programs preferred
- Experience building training/certification programs for complex technical systems preferred
- Experience performing operational assessments of data center/service-provider environments preferred
Benefits
Comp & perks- Job stability with startup vitality
- Simple, non-corporate work culture that respects individual beliefs
- Opportunities to publish and open source cutting-edge AI research
- Work on one of the fastest AI supercomputers in the world
- Continuous learning, growth and support
- Equal employment opportunities and inclusive work environment