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Description:
Cerebras Systems builds the world's largest AI chip, which is 56 times larger than GPUs.
The company's wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, simplifying programming.
Cerebras delivers industry-leading training and inference speeds, enabling users to run large-scale ML applications without managing multiple GPUs or TPUs.
Current customers include global corporations, national labs, and top-tier healthcare systems.
The company has announced a multi-year partnership with Mayo Clinic to transform AI applications across various fields.
Cerebras launched the fastest Generative AI inference solution in the world, which is over 10 times faster than GPU-based hyperscale cloud inference services.
The Cerebras Inference team aims to deliver the most performant, secure, and reliable enterprise-grade AI service.
The role involves driving reliability strategy and execution across the inference stack, including client SDKs and multi-region deployments.
Requirements:
A bachelor's or master's degree in computer science or a related field is required.
Candidates must have 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems.
Strong programming skills in at least one popular backend programming language such as Python, C++, Go, or Rust are necessary.
Deep experience with reliability principles, including SLO/SLI/SLA design, incident response, and postmortem culture is essential.
Excellent communication and cross-functional leadership skills are required.
Prior experience building large-scale AI infrastructure systems is a bonus.
Benefits:
Employees have the opportunity to build a breakthrough AI platform beyond the constraints of the GPU.
Team members can publish and open source their cutting-edge AI research.
Employees work on one of the fastest AI supercomputers in the world.
The company offers job stability combined with startup vitality.
Cerebras promotes a simple, non-corporate work culture that respects individual beliefs.