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Manager – AI Infrastructure Operations

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Cerebras Systems

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Location:
United States , Sunnyvale

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

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Job Description:

As a senior leader on our team, you will be responsible for the overall health, performance, and reliability of our infrastructure, driving initiatives that maximize compute capacity and directly support our critical AI objectives. This role is a blend of strategic leadership and hands-on technical ownership. You will leverage your deep Site Reliability Engineering (SRE) expertise to build robust systems, lead high-stakes technical escalations, and champion customer success.

Job Responsibility:

  • Lead and Manage Infrastructure: Oversee the operation and reliability of our advanced AI compute infrastructure, defining strategy and setting a high bar for operational excellence
  • Drive Technical Ownership: Act as the primary owner for critical infrastructure systems, ensuring uptime, performance, and capacity are consistently optimized
  • Handle High-Stakes Escalations: Serve as the final point of contact for complex customer and engineering escalations, providing expert-level, hands-on support and driving issues to a rapid and complete resolution
  • Champion Reliability and Automation: Leverage your SRE experience to develop and implement robust monitoring, alerting, and automation solutions, reducing manual toil and preventing future issues
  • Collaborate and Strategize: Partner with cross-functional teams, including engineering and product, to align on long-term infrastructure strategy and support future AI initiatives
  • Innovate and Improve: Continuously evaluate and improve existing processes, tools, and technologies to enhance system reliability and operational efficiency

Requirements:

  • Technical Leadership: 15+ years of experience in managing and operating complex compute infrastructure, with a minimum of 5 years in a senior or leadership role
  • SRE and Operations Expertise: A strong background as a Site Reliability Engineer or in a similar role, with a proven track record of managing large-scale, mission-critical systems
  • Deep Systems Knowledge: Expert-level proficiency in Linux-based systems, Python scripting, and command-line tools for system administration and automation
  • Troubleshooting Acumen: Exceptional ability to lead and resolve complex technical challenges under pressure, especially during customer or engineering escalations
  • On-Call Leadership: Proven experience managing an on-call rotation and responding to 24/7 technical incidents
  • Communication: Excellent communication and leadership skills, with the ability to effectively mentor junior team members and communicate complex technical concepts to a diverse audience

Nice to have:

  • Prior experience operating large-scale GPU/accelerator clusters
  • Knowledge of networking protocols (Ethernet, RoCE, TCP/IP)
  • Familiarity with ML frameworks and AI/ML workflows
  • Exposure to cloud platforms (AWS, GCP, Azure)
What we offer:
  • 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

Additional Information:

Job Posted:
February 17, 2026

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