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About the role

The Core ML team develops new machine learning algorithms that leverage the Cerebras Wafer-Scale Engine. The engineer implements these algorithms by working across ML frameworks, compilers, and low-level kernels. This involves diagnosing performance issues and optimizing code for efficient execution on Cerebras systems.

Our summary of the posting; the original is on the Cerebras Systems careers page.

What the posting requires

Required
  • C++
  • Python
  • Parallel programming
  • Memory management
  • Concurrency
  • Data structures
  • Performance optimization
  • Debug
  • PyTorch
  • Profile
Preferred
  • CUDA
  • Triton
  • Assembly
  • Accelerator programming
  • C-like dsl
  • Compiler internals

These tags are our reading of the posting. They can miss something; the original posting is the reference.

Do you qualify?

Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.

Check your fit