mid data engineering Database Engineer ic

About this role

Cerebras Systems is hiring a mid-level Database Engineer in the data engineering function based in Toronto, Canada. The posting calls out experience with Python, C, C#, PyTorch.

Role
Database Engineer
Function
data engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Toronto, Canada
Department
Performance
AI Summary
Optimize CPU and memory subsystems for Cerebras' Runtime software driver on x86 architecture. Develop algorithms for data movement, job submission, and synchronization. Use advanced CPU features like AVX and cache optimization to enhance AI training/inference performance.

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Job description

from Cerebras Systems careers

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel 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 allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.

Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

About The Role
This is an excerpt. Read the full job description on Cerebras Systems careers →
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