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Cerebras Systems is seeking a Senior ML Systems Engineer to join their SOTA Training Platform team, responsible for deploying cutting-edge AI models on their innovative CSX systems. The ideal candidate will have extensive experience in machine learning, compiler development, and performance optimization within a fast-paced environment.
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Job Summary
Contribute to the end-to-end bring up of ML models on Cerebras CSX systems, working across the stack from model architecture translation to performance tuning.
Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization.
Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups and study emerging training and post-training algorithms.
Matching Summary
Match Score: 75
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Cerebras Systems is seeking a Senior ML Systems Engineer to join their SOTA Training Platform team, responsible for deploying cutting-edge AI models on their innovative CSX systems. The ideal candidate will have extensive experience in machine learning, compiler development, and performance optimization within a fast-paced environment.
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Skills & Requirements
Must-have
ML model bring up
Cerebras CSX systems
compiler optimizations
performance tuning
deep learning frameworks
C/C++ programming
LLVM/MLIR experience
Nice-to-have
system-minded generalist
fast-paced bringup environments
emerging training algorithms
large scale ML systems
Key Requirements
5+ years of relevant industry experience
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field
Experience with deep learning frameworks (PyTorch, TensorFlow)