mid Software Engineer ic

About this role

Cerebras Systems is hiring a mid-level Software Engineer based in Sunnyvale CA or Toronto Canada. The posting calls out experience with Python, C#, LLMs, Data Structures.

Role
Software Engineer
Function
software engineering
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Sunnyvale CA or Toronto Canada
Department
Software
AI Summary
Design and build system-level debugging, validation, and observability platforms for AI chip infrastructure. Lead development of automated anomaly detection, visualization tools, and profiling frameworks. Requires strong C++ and Python skills, experience debugging complex hardware/software systems, and ability to analyze system-level data for diagnostics.

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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.

Responsibilities:

  • Lead the design and implementation of system-level debugging, validation, and observability platforms.
  • Develop automated systems for collecting and analyzing numerical, and execution anomalies.
  • Create visualization and analysis tools to enable efficient root-cause investigation.
  • Build frameworks for failure classification, regression detection, and anomaly monitoring.
  • This is an excerpt. Read the full job description on Cerebras Systems careers →
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