Cerebras Systems
Manager – AI Infrastructure Operations
Cerebras Systems, Sunnyvale, California, United States, 94087
Overview
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach enables industry-leading training and inference speeds and empowers machine learning users to run large-scale ML applications without managing hundreds of GPUs or TPUs. Cerebras serves customers worldwide, including global corporations, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, and in August launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10x faster than GPU-based hyperscale cloud inference services. About The Role
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 blends strategic leadership with hands-on technical ownership. You will leverage deep Site Reliability Engineering (SRE) expertise to build robust systems, lead high-stakes technical escalations, and champion customer success. We are seeking a proactive problem-solver with extensive experience in large-scale distributed systems, a track record of leading high-performing teams, and a passion for tackling the most challenging technical problems. Responsibilities
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 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 processes, tools, and technologies to enhance system reliability and operational efficiency. Skills & Qualifications
Technical Leadership: 15+ years of experience managing and operating complex compute infrastructure, with a minimum of 5 years in a senior or leadership role. SRE and Operations Expertise: 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: Ability to lead and resolve complex technical challenges under pressure, especially during customer or engineering escalations. On-Call Leadership: Experience managing an on-call rotation and responding to 24/7 technical incidents. Communication: Excellent communication and leadership skills, with the ability to mentor junior team members and communicate complex technical concepts to a diverse audience. Preferred Skills 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). Location
Sunnyvale, CA Why Join Cerebras
Members of our team join Cerebras for breakthrough work and a fast-paced, growth-oriented environment. Our five key reasons include: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source 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. Apply and Equal Opportunity
Apply for this job to become part of the forefront of groundbreaking advancements in AI. Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We strive to build a work environment that supports continuous learning and growth for all employees. This website or its third-party tools process personal data. For more details, review our CCPA disclosure notice. Voluntary Self-Identification
We invite you to respond to voluntary self-identification questions for government reporting purposes. Completion is optional, confidential, and will not affect hiring decisions. General information about the categories and purpose is provided in the form.
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach enables industry-leading training and inference speeds and empowers machine learning users to run large-scale ML applications without managing hundreds of GPUs or TPUs. Cerebras serves customers worldwide, including global corporations, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, and in August launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10x faster than GPU-based hyperscale cloud inference services. About The Role
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 blends strategic leadership with hands-on technical ownership. You will leverage deep Site Reliability Engineering (SRE) expertise to build robust systems, lead high-stakes technical escalations, and champion customer success. We are seeking a proactive problem-solver with extensive experience in large-scale distributed systems, a track record of leading high-performing teams, and a passion for tackling the most challenging technical problems. Responsibilities
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 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 processes, tools, and technologies to enhance system reliability and operational efficiency. Skills & Qualifications
Technical Leadership: 15+ years of experience managing and operating complex compute infrastructure, with a minimum of 5 years in a senior or leadership role. SRE and Operations Expertise: 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: Ability to lead and resolve complex technical challenges under pressure, especially during customer or engineering escalations. On-Call Leadership: Experience managing an on-call rotation and responding to 24/7 technical incidents. Communication: Excellent communication and leadership skills, with the ability to mentor junior team members and communicate complex technical concepts to a diverse audience. Preferred Skills 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). Location
Sunnyvale, CA Why Join Cerebras
Members of our team join Cerebras for breakthrough work and a fast-paced, growth-oriented environment. Our five key reasons include: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source 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. Apply and Equal Opportunity
Apply for this job to become part of the forefront of groundbreaking advancements in AI. Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We strive to build a work environment that supports continuous learning and growth for all employees. This website or its third-party tools process personal data. For more details, review our CCPA disclosure notice. Voluntary Self-Identification
We invite you to respond to voluntary self-identification questions for government reporting purposes. Completion is optional, confidential, and will not affect hiring decisions. General information about the categories and purpose is provided in the form.
#J-18808-Ljbffr