End-to-End LLM Bringup Engineer

Cerebras; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive salary and benefits

Career growth

Dynamic work environment

Cutting-edge technology

Job summary

Cerebras Systems in the United States is seeking a versatile engineer to join our Inference Core Model Bringup team. You will help rapidly bring up open-source models and customer models on Cerebras CSX systems, spanning model architecture translation, graph lowering, compiler optimizations, and runtime integration.

The role requires a system-minded generalist, strong debugging across performance and numerical accuracy, proficiency in C/C++, Python, and DL frameworks (PyTorch/TensorFlow), and

Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.
• Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling.
• Strong debugging skills across performance, numerical accuracy, and runtime integration.
• Experience with PyTorch and TensorFlow and familiarity with model internals (attention, MoE, diffusion).
• Proficiency in C/C++ programming and low-level optimization; LLVM/MLIR experience.

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, and 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.

Skills

Python

Compiler optimizations

C/C++

Deep learning

LLVM/MLIR

Performance debugging

Education

Bachelor/Master/PhD in CS/Engineering

Tools

PyTorch

TensorFlow

Job description

Cerebras Systems in the United States is seeking a versatile engineer to join our Inference Core Model Bringup team. You will help rapidly bring up open-source models and customer models on Cerebras CSX systems, spanning model architecture translation, graph lowering, compiler optimizations, and runtime integration.

The role requires a system-minded generalist, strong debugging across performance and numerical accuracy, proficiency in C/C++, Python, and DL frameworks (PyTorch/TensorFlow), and