Full Stack LLM Engineer
This engineer brings up state-of-the-art language and AI models on Cerebras systems, working across model translation, compiler optimization, runtime integration, debugging, and performance tuning. The role requires broad AI toolchain experience, deep learning frameworks, C/C++, compiler development, and strong optimization skills.
About the job
Responsibilities
- Contribute to the end-to-end bring-up of machine learning models on Cerebras CSX systems.
- Work across the stack, including model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning.
- Debug performance and correctness issues spanning model code, compiler intermediate representations, runtime behavior, and hardware utilization.
- Propose and prototype improvements across tools, APIs, and automation flows to accelerate future model bring-ups.
Requirements
- Bachelor's, master's, or PhD in Computer Science, Engineering, or a related field.
- Comfort navigating the full AI toolchain, including Python modeling code, compiler intermediate representations, and performance profiling.
- Strong debugging skills across performance, numerical accuracy, and runtime integration.
- Experience with deep learning frameworks such as PyTorch or TensorFlow, and familiarity with model internals including attention, mixture-of-experts, and diffusion.
- Proficiency in C/C++ programming and experience with low-level optimization.
- Proven experience in compiler development, particularly with LLVM and/or MLIR.
- Strong background in optimization techniques, particularly those involving NP-hard problems.
Compensation & Benefits
- Competitive salary and benefits package.
- Opportunities for professional growth and career advancement.
- Dynamic and innovative work environment.
- Opportunity to work on cutting-edge technologies and contribute to AI advancements.
Skills
Python, C, C++, PyTorch, TensorFlow, Llvm, Mlir, Compiler Development, Compiler Ir, Performance Profiling, Low-Level Optimization, Model Architecture, Graph Lowering, Runtime Integration, Numerical Accuracy
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