Full Stack LLM Engineer - Toronto
2 hours ago

Cerebras Systems builds the world's largest AI chip,
Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip,
This approach allows Cerebras to deliver industry-leading training and inference speeds
and empowers machine learning users to effortlessly run large-scale ML applications without managing hundreds of GPUs or TPUs.
About the Role
We are seeking a versatile and experienced engineer to join our SOTA Training Platform team.
Responsibilities
- Contribute to the end-to-end bring up of ML models on Cerebras CSX systems.
- Work across the stack: model architecture translation graph lowering compiler optimizations runtime integration performance tuning
Job description
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