AI Inference Systems Reliability Lead

Join Cerebras Systems as the AI Inference Systems Reliability Lead to build the most reliable AI service in the industry. Drive innovative strategies and implement critical reliability systems in a collaborative environment.
This hands-on role requires a seasoned engineer with over 7 years in reliability engineering for large-scale distributed systems. You will be responsible for defining service-level objectives, leading incident management, and developing advanced reliability mechanisms. If you have strong programming skills in popular languages and a deep understanding of SLOs, this position is for you.

Key Responsibilities:

• Define reliability goals and align engineering efforts

• Design and develop fault detection and recovery systems

• Lead incident management and root-cause analysis

• Architect reliable systems with observability features

• Create chaos testing and load simulation tools
Requirements:

• Bachelor's or master's degree in a relevant field

• 7+ years of experience in distributed systems

• Strong programming experience in Python, C++, or Go

• Knowledge of reliability architectures and practices

• Excellent communication and leadership abilities
Join Cerebras to leverage your expertise in ensuring reliable AI systems and driving significant technological advancements.
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